[PDF][PDF] A distributed densely connected convolutional network approach for enhanced recognition of health-related topics: A societal analysis case study
Y Subbarayudu, A Sureshbabu - Ingenierie des Systemes d' …, 2023 - researchgate.net
Accepted: 20 March 2023 Melanoma, a lethal form of skin cancer, poses a significant risk to
global health if not detected and treated promptly. Its early detection is pivotal in increasing …
global health if not detected and treated promptly. Its early detection is pivotal in increasing …
Skin cancer detection and classification based on deep learning
Melanoma (MEL) is a form of malignant cancer of the skin that is harmful to health.
Appropriate analysis of MEL at initial phase is critical for the achievement percentage of …
Appropriate analysis of MEL at initial phase is critical for the achievement percentage of …
A new approach using deep learning and reinforcement learning in healthcare: skin cancer classification
Y Dahdouh, A Anouar Boudhir… - International journal of …, 2023 - hrcak.srce.hr
Sažetak Nowadays, skin cancer is one of the most important problems faced by the world,
due especially to the rapid development of skin cells and excessive exposure to UV rays …
due especially to the rapid development of skin cells and excessive exposure to UV rays …
[PDF][PDF] An Enhanced Deep Learning Method for Skin Cancer Detection and Classification.
The prevalence of melanoma skin cancer has increased in recent decades. The greatest risk
from melanoma is its ability to broadly spread throughout the body by means of lymphatic …
from melanoma is its ability to broadly spread throughout the body by means of lymphatic …
Identification of Acral Melanoma using Genetic Algorithms Compared with Convolutional Neural Network using Dermoscopic Images
VN Lakshmi, P Nirmala - Cardiometry, 2022 - search.proquest.com
Aim: Identification of acral melanoma using genetic algorithm compared with convolutional
neural network CNN using dermoscopic images. Materials and Methods: The study was …
neural network CNN using dermoscopic images. Materials and Methods: The study was …
Implementation of different classification and prediction models on skin cancer using deep learning techniques
Skin cancer is widely menacing forms of cancer in North America and South East Asia and
some part of Australia also. The main reason of skin cancer is caused by damaged …
some part of Australia also. The main reason of skin cancer is caused by damaged …
Integration of Handcrafted and Deep Neural Features for Melanoma Classification and Localization of Cancerous Region
MS Rahman, MJ Hossain, MKH Sujon… - 2021 IEEE Asia …, 2021 - ieeexplore.ieee.org
Deep neural networks (DNNs) are widely utilized to automate medical image interpretation
in many forms of cancer diagnosis and to support medical specialists with fast data …
in many forms of cancer diagnosis and to support medical specialists with fast data …
Integration of handcrafted and deep neural features for Melanoma classification
MS Rahman, MJ Hossain, S Islam, MN Kabir… - 2021 - dspace.bracu.ac.bd
Deep neural networks (DNNs) are widely utilized to automate medical image in-terpretation
in many forms of cancer diagnosis and to support medical specialists with fast data …
in many forms of cancer diagnosis and to support medical specialists with fast data …
[PDF][PDF] INTRAHEPATIC CHOLANGIOCARCINOMA DETECTION AND SEGMENTATION OF IMAGES USING DEEP LEARNING TECHNIQUES
MS Kareem, Z Ahmad, TF Khan, M Shahzad, M Bashir… - ijeast.com
Intrahepatic cholangiocarcinoma is a form of cancer that forms in the cells of the bile ducts,
both inside and outside of the liver. Cholangiocarcinoma and bile duct cancer are two words …
both inside and outside of the liver. Cholangiocarcinoma and bile duct cancer are two words …