Machine learning and computer vision based methods for cancer classification: A systematic review
SB Mukadam, HY Patil - Archives of Computational Methods in …, 2024 - Springer
Cancer remains a substantial worldwide health issue that requires careful and exact
classification to plan treatment in its early stages. Classical methods of cancer diagnosis …
classification to plan treatment in its early stages. Classical methods of cancer diagnosis …
[HTML][HTML] CVG-Net: novel transfer learning based deep features for diagnosis of brain tumors using MRI scans
Brain tumors present a significant medical challenge, demanding accurate and timely
diagnosis for effective treatment planning. These tumors disrupt normal brain functions in …
diagnosis for effective treatment planning. These tumors disrupt normal brain functions in …
Medical image segmentation using automated rough density approach
Delineation of Gallbladder (GB) and identification of gallstones from Computed Tomography
(CT) and Ultrasonography (USG) images is an essential step in the radiomic analysis of …
(CT) and Ultrasonography (USG) images is an essential step in the radiomic analysis of …
Image Classification of Leukemic Cells Using Invariants of Triangle-Free Graphs as Synthetic Features
D Muzalevskiy, I Torshin - IEEE Access, 2024 - ieeexplore.ieee.org
Development of efficient methods of the cellular image processing is an important avenue
for practical application of modern artificial intelligence techniques. In particular, practical …
for practical application of modern artificial intelligence techniques. In particular, practical …
Microscopic image segmentation approach based on modified affinity propagation-based clustering
S Chakraborty, K Mali - Multimedia Tools and Applications, 2024 - Springer
Microscopic image analysis is an important task from the diagnostic point of view because
microscopic investigation is often required to diagnose the root cause of some diseases …
microscopic investigation is often required to diagnose the root cause of some diseases …
Android malware detection for timely detection using multi-class deep learning methods
M Anusha, M Karthika - International Journal of Intelligent …, 2024 - inderscienceonline.com
Android malware has emerged as a severe danger to national security because of the
widespread usage of smartphones and the inherent risk it provides to its users. Due to code …
widespread usage of smartphones and the inherent risk it provides to its users. Due to code …
ENSEMBLE MODEL WITH IMPROVED U-NET-BASED SEGMENTATION FOR LEUKEMIA DETECTION
M Hasan, M Vijay, S Sharanyaa… - … : Applications, Basis and …, 2024 - World Scientific
An essential component of the immune system that aids in the fight against pathogens is
white blood cells. One of the most prevalent blood diseases, leukemia can be fatal if not …
white blood cells. One of the most prevalent blood diseases, leukemia can be fatal if not …