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Organized by DEPARTMENT OF ENGINEERING National Institute of Technology Calicut NIT Campus P.O, Calicut - 673601, Kerala, India COMPUTER SCIENCE AND TEQIP-III SPONSORED Geometry, Imaging and Parallel Computing for Cancer Treatment 2019 Coordinators Dr. P.B. Jayaraj | Dr. Pournami P.N. Dr. Subhasree M. | Niyas Puzhakkal JUNE 10-15, 2019 (GIPCAN-2019) Faculty Development Programme on ABOUT THE PROGRAMME The Department of Computer Science and Engineering, National Institute of Technology Calicut (NITC) jointly with Department of Radiation Oncology and Medical Physics, MVR Cancer Centre and Research Institute (MVR CCRI), Calicut organize a Faculty Development Programme on “Geometry, Imaging and Parallel Computing Techniques for Cancer Treatment (GIPCAN2019)”, under TEQIP-III at NIT Calicut, from th th June 10 to June 15 2019 (6 days). Statistically tumours are the second cause of cancer-related deaths in human population. This disease is also the fifth leading cause of cancer-related deaths in young males and females. Males are mostly affected with cancers in the organs such as oral cavity, lungs and stomach, whereas cancerous growths in breast and cervix affect females. These facts squarely relate to the importance of accumulation of research initiatives for cancer treatment in various perspectives starting from prevention, screening, and early detection to treatment. Varieties of image processing techniques are to be applied on various imaging modalities for tumour detection that detects certain features of the tumours such as the shape, border, calcification and texture. In order to achieve highly accurate disease-specific features, the human body is imaged using Magnetic Resonance Imaging (MRI) scan or Computed Tomography (CT) scan. As soft tissue resolution is better in MRI scans, MR images are also utilised for diagnosis. Partitioning CT images to mutually exclusive regions is very important in treatment planning. Image segmentation can be considered as the most essential and crucial process for facilitating the delineation, characterization, and visualization of regions of interest in any medical image. There are many algorithms and techniques available for image segmentation but still there are needs to develop an efficient and fast technique for medical image segmentation. Deep Learning is the most powerful and leading technology of the present time. Introduction to the theoretical and practical perspectives of this technology enables the participant to develop scalable and sustainable solutions. Programs which use only CPU driven techniques can compute in sequential manner only and hence are time consuming. Graphical Processing Units (GPUs) have the capability of executing huge amount of data simultaneously in a parallel manner. GPU based implementations of machine learning and deep learning architectures enable us to study, analyze and to draw inferences from the structured and unstructured data. The FDP also deals with Computational Geometry, a branch of Computer Science devoted to the study of algorithms, which can be stated in terms of Geometry. Contouring is one of the widely learned applications of Computational Geometry. Even though the problem of contouring is an ill-posed one, it plays a major role in the boundary detection of the cancerous areas of the organs. There are many algorithms existing for contouring. This FDP aims to introduce the current trends in tumor detection and treatment using various image processing/computational geometric/parallel computing techniques, to faculty members and research scholars who are interested to do research in this area. It is proposed to provide an incentive for solving problems in medical imaging through new computational approaches, making solutions possible in an area where previously it was impossible to obtain a faster solution. Some major highlights of the FDP are an interactive session on Cancer Awareness and a visit to MVR CCRI, Calicut. COURSE CONTENTS Main topics to be covered: n Image Processing for Radiation Treatment Planning n n Applications of Computational Geometry in Cancer Treatment n Various Contouring Algorithms n Parallel Computing for Cancer Detection n GPU Based Parallelism and CUDA Programming n Application of Deep Learning in Cancer Treatment Image Enhancement, Registration and Segmentation for Tumor Detection

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Page 1: Geometry, Imaging and Parallel Computing for Cancer ... · Cancer Centre and Research Institute (MVR CCRI), Calicut organize a Faculty Development Programme on “Geometry, Imaging

Organized byDEPARTMENT OF ENGINEERINGNational Institute of Technology CalicutNIT Campus P.O, Calicut - 673601, Kerala, India

COMPUTER SCIENCE AND

TEQIP-III SPONSORED

Geometry, Imaging and Parallel Computing for Cancer Treatment 2019

CoordinatorsDr. P.B. Jayaraj | Dr. Pournami P.N.Dr. Subhasree M. | Niyas Puzhakkal

JUNE 10-15, 2019

(GIPCAN-2019)

F a c u l t y D e v e l o p m e n t P r o g r a m m e o n

ABOUT THE PROGRAMMEThe Department of Computer Science and Engineering, National Institute of Technology Calicut (NITC) jointly with Department of Radiation Oncology and Medical Physics, MVR Cancer Centre and Research Institute (MVR CCRI), Calicut organize a Faculty Development Programme on “Geometry, Imaging and Parallel Computing Techniques for Cancer Treatment (GIPCAN2019)”, under TEQIP-III at NIT Calicut, from

th thJune 10 to June 15 2019 (6 days).

Statistically tumours are the second cause of cancer-related deaths in human population. This disease is also the fifth leading cause of cancer-related deaths in young males and females. Males are mostly affected with cancers in the organs such as oral cavity, lungs and stomach, whereas cancerous growths in breast and cervix affect females. These facts squarely relate to the importance of accumulation of research initiatives for cancer treatment in various perspectives starting from prevention, screening, and early detection to treatment. Varieties of image processing techniques are to be applied on various imaging modalities for tumour detection that detects certain features of the tumours such as the shape, border, calcification and texture.

In order to achieve highly accurate disease-specific features, the human body is imaged using Magnetic Resonance Imaging (MRI) scan or Computed Tomography (CT) scan. As soft tissue resolution is better in MRI scans, MR images are also utilised for diagnosis. Partitioning CT images to mutually exclusive regions is very important in treatment planning. Image segmentation can be considered as the most essential and crucial process for faci l i tat ing the del ineation, characterization, and visualization of regions of interest in any medical image. There are many algorithms and techniques available for image segmentation but still there are needs to develop an efficient and fast technique for medical image segmentation.

Deep Learning is the most powerful and leading technology of the present time. Introduction to the theoretical and practical

perspectives of this technology enables the participant to develop scalable and sustainable solutions. Programs which use only CPU driven techniques can compute in sequential manner only and hence are time consuming. Graphical Processing Units (GPUs) have the capability of executing huge amount of data simultaneously in a parallel manner. GPU based implementations of machine learning and deep learning architectures enable us to study, analyze and to draw inferences from the structured and unstructured data.

The FDP also deals with Computational Geometry, a branch of Computer Science devoted to the study of algorithms, which can be stated in terms of Geometry. Contouring is one of the widely learned applications of Computational Geometry. Even though the problem of contouring is an ill-posed one, it plays a major role in the boundary detection of the cancerous areas of the organs. There are many algorithms existing for contouring.

This FDP aims to introduce the current trends in tumor d ete c t i o n a n d t re at m e nt u s i n g va r i o u s i m a ge processing/computational geometric/parallel computing techniques, to faculty members and research scholars who are interested to do research in this area. It is proposed to provide an incentive for solving problems in medical imaging through new computational approaches, making solutions possible in an area where previously it was impossible to obtain a faster solution. Some major highlights of the FDP are an interactive session on Cancer Awareness and a visit to MVR CCRI, Calicut.

COURSE CONTENTSMain topics to be covered:nImage Processing for Radiation Treatment Planningn

nApplications of Computational Geometry in Cancer Treatment

nVarious Contouring Algorithms nParallel Computing for Cancer DetectionnGPU Based Parallelism and CUDA ProgrammingnApplication of Deep Learning in Cancer Treatment

Image Enhancement, Registration and Segmentation for Tumor Detection

Page 2: Geometry, Imaging and Parallel Computing for Cancer ... · Cancer Centre and Research Institute (MVR CCRI), Calicut organize a Faculty Development Programme on “Geometry, Imaging

Geometry, Imaging and Parallel Computing for Cancer Treatment 2019

(GIPCAN-2019)

RESOURCE PERSONSExperts from IITs, NITs, MVR CCRI and specialists from industry such as Nvidia will be delivering lectures, demo-sessions and practical sessions.

ELIGIBILITYFaculty, Ph. D. scholars and PG students, who are actively involved in research in the area of medical imaging/ computational geometry/parallel computing are eligible to apply.

ACCOMMODATIONLimited accommodation will be provided in the NITC campus for outside participants. A request for this has to be made well in advance. No TA/DA will be paid for any participant.

REGISTRATION The participant may complete the registration process by filling out the registration form and paying the course

thregistration fee, before 25 May, 2019 . The course fee should be paid in the form of Draft/NEFT/RTGS. The account details are given below. The duly filled up registration form and the DD/NEFT/RTGS receipt must be sent to the course coordinator. For provisional registration, scanned copies of the above documents can be sent to . The maximum number of participants of the program would be limited to 50. All the selected participants will be informed

stthrough e-mail on or before 1 June 2019. The registration fee includes the instructional materials, refreshments between sessions and lunch.

REGISTRATION FEESParticipants from: Industry/ Research organizations : Rs 6000/-Faculty from Academic Institutions: Rs 3000/-Research Scholars/ PG Students : Rs 1500/-Account Name : DIRECTOR NIT CALICUT

Bank : State Bank of IndiaBranch : CREC, Chathamangalam,

KozhikodeBranch Code : 002207IFSC : SBIN0002207MICR Code : 673002012SWIFT Code : SBINPN BB392

IMPORTANT DATES thLast date for receiving applications : 25 May 2019

stIntimation to Participants by email : 1 June 2019 th thCourse Dates : 10 - 15 June 2019

FOR FURTHER DETAILS, CONTACT:Dr. P.B. Jayaraj, Dr. P.N. Pournami, Dr. Subhasree M.Coordinators, FDP on GIPCAN-2019Department of Computer Science & EngineeringNational Institute of Technology CalicutNIT Calicut P.O., Kozhikode - 673601, Kerala, IndiaEmail: [email protected]:+91 9633701066, +91 9995651542, +91 9498053221

[email protected]

Account No. : 37618269594

ABOUT NIT CALICUTNational Institute of Technology Calicut is one of the 31 institutions of national importance governed by the NIT Act 2007 and is fully funded by the Government of India. Originally established in 1961 as a Regional Engineering College (REC), it was transformed into National Institute of Technology in the year 2002. The Institute is presently offering ten UG programs and thirty PG programs along with Ph.D programme in various fields of Engineering, Science and

thTechnology. In the NIRF 2019 ranking, NIT Calicut bagged 28 place in the Engineering stream. Calicut, “the city of virtues” located in the Malabar region of the Kerala State, found a place in the world history with the discovery of a sea route to India in 1498 by the Portuguese navigator Vasco Da Gama.

ABOUT MVR CANCER CENTRE AND RESEARCH INSTITUTE, CALICUTMVR CCRI is an oncology specialty hospital and research centre which is setup and run by Cancer and Allied Ailments Research (CARE) Foundation, a charitable society registered under Kerala Societies Registration Act XXI of 1860, was initiated by the Calicut City Service Co-operative Bank, one of the leading and largest primary Co-Operative Banks in Kerala. The society was established in the year 2011. The foundation set up MVR Cancer Centre & Research Institute in 2017. The objective of the MVR Cancer Centre is to provide comprehensive and cost-effective cancer treatment to the population of Kerala and India in totality. There are 13 Clinical departments and 15 specialized clinics that cater to various cancers of the body at the facility. With renowned medical specialists at the helm of fully specialized departments, dedicated support staff and the latest technology, the mission to make cancer a controllable disease can be achieved. To further research in cancer, collaboration with national and international institutions of similar ethos is actively afoot.

ABOUT THE DEPARTMENT OF CSE @ NIT CALICUTUndergraduate programme in Computer Science and Engineering started in the year 1985 in the then Electrical Engineering Department. The Department of Computer Science and Engineering (CSE) was established as an independent entity in the year 1997 as a result of trifurcation of the Department of Electrical Engineering. Department of CSE currently offers two M.Tech programmes, the MCA programme and the Ph.D programme in addition to the B.Tech programme in Computer Science and Engineering. The fast changing scenario in Information Technology necessitates the department to actively extend its research and development activities. The department also strives to fulfill its social responsibility by extending technical support to government and non-governmental organizations through community outreach programmes.

Page 3: Geometry, Imaging and Parallel Computing for Cancer ... · Cancer Centre and Research Institute (MVR CCRI), Calicut organize a Faculty Development Programme on “Geometry, Imaging

(GIPCAN-2019)

TEQIP-III SPONSORED

Name: .............................................................................................. M F Others

Designation:..............................................................................................................

Highest Qualification & Specialization: ......................................... CGPA/% ..........

Organization.............................................................................................................

Address:....................................................................................................................

..................................................................................................................................

..................................................................................................................................

Mobile No: ........................................ Email: ..........................................................

Your current research/ ongoing project ..................................................................

..................................................................................................................................

Details of Payment of Course Registration Fee

DD No……….....………Date ...................Bank ….................……….. Amount………………..

If paid through NEFT/RTGS

Transaction Number .................................. Date ............................ Bank ……………..

Accommodation Required: Yes/ No

Date .................... Signature of the Applicant...............................

APPROVAL FROM AFFILIATED INSTITUTE OF THE APPLICANT

Certified that Mr./ Ms./ Dr. ……………....................................………………………………....is an employee/student of our institute. If selected, he/she will be permitted to attend the FDP on Geometry, Imaging and Parallel Computing for Cancer Treatment 2019 conducted by NIT Calicut during June 10-15, 2019.

Date: ….............. Signature .....................................and Seal of Approving Authority

..

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GIPCAN-2019Department of Computer Science

and EngineeringNational Institute of Technology Calicut

NIT Campus P.O., Kozhikode- 673601, KeralaPhone:

Email:

Mob:+91 9633701066, +91 9995651542, +91 9498053221

[email protected]

Please Send to:

Coordinator

Organized byDEPARTMENT OF ENGINEERINGNational Institute of Technology CalicutNIT Campus P.O, Calicut - 673601, Kerala, India

COMPUTER SCIENCE AND

Geometry, Imaging and Parallel Computing for Cancer Treatment 2019

JUNE 10-15, 2019

F a c u l t y D e v e l o p m e n t P r o g r a m m e o n