Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review

D Painuli, S Bhardwaj - Computers in Biology and Medicine, 2022 - Elsevier
Being a second most cause of mortality worldwide, cancer has been identified as a perilous
disease for human beings, where advance stage diagnosis may not help much in …

[HTML][HTML] Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges

T Saba - Journal of infection and public health, 2020 - Elsevier
Cancer is a fatal illness often caused by genetic disorder aggregation and a variety of
pathological changes. Cancerous cells are abnormal areas often growing in any part of …

Melanoma skin cancer detection based on deep learning methods and binary Harris Hawk optimization

NJF Jaber, A Akbas - Multimedia Tools and Applications, 2024 - Springer
The issue of skin cancer has garnered significant attention from the scientific community
worldwide, with melanoma being the most lethal and uncommon form of the disease …

Cancer diagnosis using artificial intelligence: a review

KA Shastry, HA Sanjay - Artificial Intelligence Review, 2022 - Springer
Artificial intelligence (AI) is the usage of scientific techniques to simulate human intellectual
skills and to tackle complex medical issues involving complicated genetic defects such as …

New approaches in machine-based image analysis for medical oncology

EFI Rani, TL Pushparaj, EFI Raj… - Machine Learning and …, 2022 - taylorfrancis.com
Oncology research needs a huge quantity of images and test reports for diagnosing. In vitro
methods like computed tomography and magnetic resonance imaging, invivo methods like a …

An adaptive learning method of anchor shape priors for biological cells detection and segmentation

H Hu, A Liu, Q Zhou, Q Guan, X Li, Q Chen - Computer Methods and …, 2021 - Elsevier
Background and objective: Owing to the variable shapes, large size difference, uneven
grayscale and dense distribution among biological cells in an image, it is still a challenging …

Skin lesion analysis towards melanoma detection using optimized deep learning network

ST Sukanya, S Jerine - Multimedia Tools and Applications, 2023 - Springer
The deadliest form of skin lesion is known as melanoma. Detection of melanoma at earlier
stages significantly raises the rate of survival. Nevertheless, the precise detection of …

Early Detection and Classification of Melanoma Based on Android MobileNet V2 Convolutional Neural Network

JID Prabandari, CA Sari… - … on Application for …, 2023 - ieeexplore.ieee.org
Melanoma is a malignant form of cancer that affects the skin and has a particularly high
mortality rate, so it requires early detection to increase the level of safety for users. Diagnosis …

An innovative analysis of predicting melanoma skin cancer using MobileNet and convolutional neural network algorithm

KV Reddy, LR Parvathy - 2022 2nd International Conference …, 2022 - ieeexplore.ieee.org
The primary goal of this study is to propose and compare an automatic melanoma cancer
detection system based on mobilenet architecture algorithm and convolutional neural …

[PDF][PDF] Detection of Cancer in Medical Images using Deep Learning.

E Shweikeh, J Lu, M Al-Rajab - International journal of online & …, 2021 - repository.adu.ac.ae
Cancer is a serious disease that causes death by genomic disorder combination and
diversity of unreasoning changes. This paper study the major deep learning techniques that …