[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 …
source, pretrained convolutional neural networks and conventional machine learning …
Cancer detection and segmentation using machine learning and deep learning techniques: A review
HM Rai - Multimedia Tools and Applications, 2024 - Springer
Cancer is the most fatal diseases in the world which has highest mortality rate as compared
to other type's human diseases. The most common and dangerous types of cancers are lung …
to other type's human diseases. The most common and dangerous types of cancers are lung …
[HTML][HTML] Kidney cancer prediction empowered with blockchain security using transfer learning
Kidney cancer is a very dangerous and lethal cancerous disease caused by kidney tumors
or by genetic renal disease, and very few patients survive because there is no method for …
or by genetic renal disease, and very few patients survive because there is no method for …
[HTML][HTML] Efficient breast cancer detection via cascade deep learning network
B Asadi, Q Memon - International Journal of Intelligent Networks, 2023 - Elsevier
Breast calcifications or irregular tissue growth are major health concerns that can lead to
breast cancer. To enable early management, which significantly lowers death rates, it is …
breast cancer. To enable early management, which significantly lowers death rates, it is …
IoMT‐Based Mitochondrial and Multifactorial Genetic Inheritance Disorder Prediction Using Machine Learning
A genetic disorder is a serious disease that affects a large number of individuals around the
world. There are various types of genetic illnesses, however, we focus on mitochondrial and …
world. There are various types of genetic illnesses, however, we focus on mitochondrial and …
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
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 …
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
PCA-DNN: A Novel Deep Neural Network Oriented System for Breast Cancer Classification
INTRODUCTION: The number of women diagnosed with breast cancer has risen rapidly in
recent years all around the world, and this trend is anticipated to continue. After lung cancer …
recent years all around the world, and this trend is anticipated to continue. After lung cancer …
[HTML][HTML] Network meddling detection using machine learning empowered with blockchain technology
The study presents a framework to analyze and detect meddling in real-time network data
and identify numerous meddling patterns that may be harmful to various communication …
and identify numerous meddling patterns that may be harmful to various communication …
[PDF][PDF] Assessment of Information Extraction Techniques, Models and Systems.
The present article aims to review and evaluate the practiced and classical techniques,
tools, models, and systems concerning automatic information extraction (IE) from published …
tools, models, and systems concerning automatic information extraction (IE) from published …
Hematologic cancer detection using white blood cancerous cells empowered with transfer learning and image processing
Lymphoma and leukemia are fatal syndromes of cancer that cause other diseases and affect
all types of age groups including male and female, and disastrous and fatal blood cancer …
all types of age groups including male and female, and disastrous and fatal blood cancer …