Artificial intelligence approaches for predictive analysis of skin cancer in patients

Authors : E Venkatesan, V Thangavel

DOI : 10.33545/27076636.2025.v6.i2b.137

Volume : 6

Issue : 2

Year : 2025

Page No : 248-250

Nil


Citation Data


Related Articles

Assessment of severity of peritonitis due to hollow viscous perforation- using APACHE II score

Karthik Thota, Balakrishna Ganga, Sravanthi Kanumuri, Sridhar Punyapu*, Zainab Farooqi, Nikhil Mehra Panguluru A S

Mandibular first molar with radix entomolaris: A case report

Sampann Chowdhry, Ashish Kamboj, S S Chopra, Nishant Sinha, Atul Bali, Gagandeep Kochar

Comparison of single step versus double step screening for GDM

Rony Chakravarty, Varun Bajaj, KC Singh

Intestinal Parasitic infestations in children visiting Pravara Rural Hospital, Loni (Maharashtra-India)

Shahriar B Roushani, Anagha Kinikar, Deepika Bhalerao, Savita Tajane

COVID-19. . . Navigating through a year of challenges and changes

Pankaj Sayal

Drug use evaluation and rational prescription audit of restricted antibiotics in tertiary care corporate hospital: An interventional study

Avinash Teli, Danish Azad, Anjali, Rifat Bashir

Physical activity among medical students of university sultan zainal abidin (UniSZA), Malaysia

Charan Kishor Shetty, Myat Moe Thwe Aung, San San OO, Nordin Simbak

The frequency of hydatidiform mole in a tertiary care hospital from central India

Bharat U Patil, Nitin M Gangane, V B Shivkumar

Scrotal calcinosis- A rare condition diagnosed on FNAC

Vineet Banga*, Stuti Jain, Anju Gupta, Sachi Gupta