[HTML][HTML] A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application

M Mokoatle, V Marivate, D Mapiye, R Bornman… - BMC …, 2023 - Springer
Background Using visual, biological, and electronic health records data as the sole input
source, pretrained convolutional neural networks and conventional machine learning …

A survey on cancer detection via convolutional neural networks: Current challenges and future directions

P Sharma, DR Nayak, BK Balabantaray, M Tanveer… - Neural Networks, 2023 - Elsevier
Cancer is a condition in which abnormal cells uncontrollably split and damage the body
tissues. Hence, detecting cancer at an early stage is highly essential. Currently, medical …

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 …

Cancer detection using convolutional neural network

I Dabral, M Singh, K Kumar - Conference Proceedings of ICDLAIR2019, 2021 - Springer
Cancer is a dreadful heterogeneous disease that refers to abnormal growth of cell tissue.
Millions of people die every year due to unnoticed recognition or late detection of the …

[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 …

A review on automated cancer detection in medical images using machine learning and deep learning based computational techniques: Challenges and …

J Manhas, RK Gupta, PP Roy - Archives of Computational Methods in …, 2022 - Springer
Cancer is one of the most deadly diseases diagnosed among the population across the
globe so far. The number of cases is increasing at a high pace each year that subsequently …

[PDF][PDF] Deep Learning-Based Cancer Detection-Recent Developments, Trend and Challenges.

G Kumar, H Alqahtani - CMES-Computer Modeling in …, 2022 - cdn.techscience.cn
Cancer is one of the most critical diseases that has caused several deaths in today's world.
In most cases, doctors and practitioners are only able to diagnose cancer in its later stages …

[HTML][HTML] Cancer diagnosis using deep learning: a bibliographic review

K Munir, H Elahi, A Ayub, F Frezza, A Rizzi - Cancers, 2019 - mdpi.com
In this paper, we first describe the basics of the field of cancer diagnosis, which includes
steps of cancer diagnosis followed by the typical classification methods used by doctors …

A review on recent developments in cancer detection using Machine Learning and Deep Learning models

S Maurya, S Tiwari, MC Mothukuri, CM Tangeda… - … Signal Processing and …, 2023 - Elsevier
Cancer is a fatal illness frequently caused by a variety of obsessive changes and genetic
disorders. Cancer cells knowing as abnormal cells can grow in any part of the human body …

A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics

HM Rai, J Yoo - Journal of Cancer Research and Clinical Oncology, 2023 - Springer
Purpose There are millions of people who lose their life due to several types of fatal
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …