Can I read Deep Learning Solutions for Skin Cancer Detection and Diagnosis on EtoBox?

Deep Learning Solutions for Skin Cancer Detection and Diagnosis by Hardik Nahata; Satya P. Singh is a book available to read on EtoBox.

What is Deep Learning Solutions for Skin Cancer Detection and Diagnosis about?

Skin cancer, a concerning public health predicament, with over 5,000,000 newly identified cases every year, just in the United States. Generally, skin cancer is of two types: melanoma and non-melanoma. Melanoma also called as Malignant Melanoma is the 19th most frequently occurring cancer in women and men. It is the deadliest form of skin cancer [1]. In the year 2015, the global occurrence of melanoma was approximated to be over 350,000 cases, with around 60,000 deaths. The most prevalent non-melanoma tumours are squamous cell carcinoma and basal cell carcinoma. Non-melanoma skin cancer is the 5th most frequently occurring cancer, with over 1 million diagnoses worldwide in 2018 [2]. As of 2019, greater than 1.7 Million new cases are expected to be diagnosed [3]. Even though the mortality is significantly high, but when detected early, survival rate exceeds 95%. This motivates us to come up with a solution to save millions of lives by early detection of skin cancer. Convolutional Neural Network (CNN) or ConvNet, are a class of deep neural networks, basically generalized version of multi-layer perceptrons. CNNs have given highest accuracy in visual imaging tasks [4]. This project aim

Author

Hardik Nahata; Satya P. Singh

Publisher

Springer International Publishing, Imprint Springer

Published

2020

Language

EN

ISBN

9783030408497

Subjects

Computer Science, Medical, Engineering