Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review
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 …
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 …
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 …
worldwide, with melanoma being the most lethal and uncommon form of the disease …
Cancer diagnosis using artificial intelligence: a review
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 …
skills and to tackle complex medical issues involving complicated genetic defects such as …
New approaches in machine-based image analysis for medical oncology
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 …
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
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 …
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 …
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 …
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 …
detection system based on mobilenet architecture algorithm and convolutional neural …
[PDF][PDF] Detection of Cancer in Medical Images using Deep Learning.
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 …
diversity of unreasoning changes. This paper study the major deep learning techniques that …