The authors discussed the issues posed by our study's inability to accurately diagnose skin
cancer and distinguish between various skin growths, especially without the aid of cutting …

Skin cancer is one of the most common illnesses worldwide, and early identification is
essential for a successful course of therapy and well-tolerated results. This theory offers an …

In this study, an efficient Abnormal Pattern Classification (APC) system for skin cancer
diagnosis is developed using Multi-Resolution Features (MRF) and Multi-Layer Perceptron …

Accepted: 8 November 2022 Finger vein verification has recently gained the attention of
many researchers as one of the most interesting biometrics. This paper proposes a deep …

BEYİN MR GÖRÜNTÜLERİNDE GİZLİLİK TABANLI YAKLAŞIM: FEDERE ÖĞRENME ÖZET
Güçlü derin öğrenme modelleri, çok fazla veriye ve veri çeşitliliğine ihtiyaç duymaktadır. Tıp …

Natural language processing (NLP) is generally referred to as the utilization of natural
languages such as text and speech through software. The NLP is studied for more than 50 …

Computational and artificial intelligence work together to create machine learning. As a
model, they look to the human mind, from which they hope to create intelligent machines that …

Nowadays, skin cancer became a common disease where every 3 in 100 people are
affecting from skin cancer. Previously doctors used to detect the cancer efficiently, but …

Introducción—Anualmente llegan a Colombia más de 6.5 millones de personas
provenientes de otros países, según lo indicado por el Ministerio de Comercio, Industria y …

ABSTRACT The International Skin Imaging Collaboration (ISIC) datasets are pivotal
resources for researchers in machine learning for medical image analysis, especially in skin …