EARLY DETECTION OF MELANOMA SKIN CANCER
Skin cancer is a significant problem for public health, and it can affect anyone, regardless of skin color, gender, and age. Further, it is a leading cause of death worldwide. In the USA, it has been reported that there are more than 100,000 new patients in 2020. The deadliest and most severe form of skin cancer is called Melanoma.
This panel session will discuss the possible early detection method using electronics and different algorithms. In order to make an efficient, effective, and accurate early-stage melanoma identification and classification, deep neural network-based algorithms are used.
Meeting ID: 951 454 7039
Date and Time
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- McLean Blvd.
- Paterson, New Jersey
- United States 07504
- Building: 201
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- Co-sponsored by IEEE North Jersey Section
- Starts 15 April 2022 02:00 PM UTC
- Ends 25 April 2022 12:00 AM UTC
- No Admission Charge
Speakers
Dr. Avimanyou Vatsa
EARLY DETECTION OF MELANOMA SKIN CANCER
Address:New Jersey, United States
Agenda
Panelist:
Dr. Ajay Poddar, Chair IEEE AP-S CAC, and Chair IEEE North Jersey Section
Dr. Jawad Siddiqui, Chair IEEE AP-S SIGHT, AP-S COPE Member
Dr. Malaya Tripathy, IEEE AP-S R10 CAC member
Dr. Anisha Apte, IEEE AP-S AdCom Member, Editor AP-S COPE Newsletter, Vice-Chair IEEE NJ AP/MTT Chapter
Dr. Alfredo Tan, ExCom Member IEEE North Jersey Section, Prof FDU, New Jersey
Dr. Yahia Antar, 2021 IEEE AP-S President
Dr. Hong Zhao, Vice Chair IEEE North Jersey Section