Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Accurate cancer detection and diagnosis are imperative for advancing patient outcomes and
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic …
Cancer remains a leading reason of mortality, with the current global death toll estimated at
10 million and projected to surpass 16 million by 2040 as reported by the World Health …
10 million and projected to surpass 16 million by 2040 as reported by the World Health …
Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform
M Sharkas, O Attallah - Scientific Reports, 2024 - nature.com
Colorectal cancer (CRC) exhibits a significant death rate that consistently impacts human
lives worldwide. Histopathological examination is the standard method for CRC diagnosis …
lives worldwide. Histopathological examination is the standard method for CRC diagnosis …
Analysis of Colorectal and Gastric Cancer Classification: A Mathematical Insight Utilizing Traditional Machine Learning Classifiers
Cancer remains a formidable global health challenge, claiming millions of lives annually.
Timely and accurate cancer diagnosis is imperative. While numerous reviews have explored …
Timely and accurate cancer diagnosis is imperative. While numerous reviews have explored …
MobileDenseNeXt: Investigations on biomedical image classification
Background and objective We are living in the information era. Therefore, intelligence-based
researchers are hot-topic such as artificial intelligence. In the artificial intelligence research …
researchers are hot-topic such as artificial intelligence. In the artificial intelligence research …
Deep transfer learning driven model for mango leaf disease detection
YP Singh, BK Chaurasia, MM Shukla - International Journal of System …, 2024 - Springer
India exports a big volume of mangoes, the mango fruit holds significant economic and
ecological worth in India. Plant diseases are a very typical occurrence that reduces …
ecological worth in India. Plant diseases are a very typical occurrence that reduces …
Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
Cancer continues to be a primary cause of death worldwide, highlighting the critical need for
early diagnosis methods. Automated, quick, and efficient technologies are critical to this …
early diagnosis methods. Automated, quick, and efficient technologies are critical to this …
Glaucoma Classification using Light Vision Transformer
INTRODUCTION: Nowadays one of the primary causes of permanent blindness is
glaucoma. Due to the trade-offs, it makes in terms of portability, size, and cost, fundus …
glaucoma. Due to the trade-offs, it makes in terms of portability, size, and cost, fundus …
Intrusion detection for internet of vehicles using machine learning
S Bajpai, K Sharma… - 2023 14th International …, 2023 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) has replaced vehicular networks as the preferred paradigm as
a result of the enormous expansion in computer and network capabilities. Because of the …
a result of the enormous expansion in computer and network capabilities. Because of the …
HViTML: Hybrid vision transformer with machine learning-based classification model for glaucomatous eye
Glaucoma is currently one of the most significant causes of permanent blindness. Fundus
imaging is the most popular glaucoma screening method because of the compromises it has …
imaging is the most popular glaucoma screening method because of the compromises it has …