An Interpretable Skin Cancer Classification Using Optimized Convolutional Neural Network RK For A Smart Health Care System (1, #1)

The paper explains that skin cancer is a common form of cancer worldwide and that's why an early and accurate diagnosis is crucial for patient survival. However, the clinical evaluation of skin lesions is complicated by lengthy waiting times and subjective interpretations. Deep learning techniques have been developed to assist dermatologists in making more accurate diagnoses to tackle these obstacles.

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DR K VENKATA NAGANJANEYULU PRESENTLY WORKING AS A PROFESSOR OF CSE DEPT IN MALLA REDDY ENGINEERING COLLEGE FOR WOMEN(AUTONOMOUS). HYDERABAD, TELANGANA STATE, INDIA.-
DR K VENKATA NAGANJANEYULU WORKED AS A PROFESSOR OF CSE DEPT IN LORDS INSTITUTE OF ENGINEERING AND TECHNOLOGY (AN AUTONOMOUS INSTITUTION), AFFILIATED TO OSMANIA UNIVERSITY, HYDERABAD, TELANGANA STATE, INDIA.-
DR K VENKATA NAGANJANEYULU WORKED AS A PROFESSOR OF CSE DATA SCIENCE DEPT IN STMARY'S GROUP OF INSTITUTIONS, HYDERABAD, JNTU, TELANGANA STATE, INDIA.
- DR K V NAGANJANEYULU WORKED AS PRINCIPAL & PROFESSOR OF CSE/IT (CSIT) DEPT IN DHRUVA INSTITUTE OF ENGINEERING & TECHNOLOGY (DIET), JNTUH, HYDERABAD, TS.
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DR KVN IS HAVING 25 YRS OF TEACHING EXPERIENCE AS A FACULTY IN COMPUTER SCIENCE/ INFORMATION TECHNOLOGY(CSIT) DEPT. AMONG THAT HE HAD 2 YRS OF FOREIGN TEACHING EXPERIENCE (ABROAD EXPOSURE) & TAUGHT FOR MS COURSES.
- HE HAD 35 REPUTED INTERNATIONAL, NATIONAL JOURNAL & CONFERENCE PUBLICATIONS UNDER HIS RESEARCH AREAS. HE ATTENDED MANY FDP'S, WORKSHOP'S/GUEST LECTURER'S & TECHNICAL SEMINARS. HE CONDUCTED MANYIMPORTANT AND INNOVATIVE FDP'S/WORKSHOPS'S/GUEST LECTURER'S AND SEMINARS.