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 …

EIU-Net: Enhanced feature extraction and improved skip connections in U-Net for skin lesion segmentation

Z Yu, L Yu, W Zheng, S Wang - Computers in Biology and Medicine, 2023 - Elsevier
Skin lesion segmentation is a computer-aided diagnosis method for quantitative analysis of
melanoma that can improve efficiency and accuracy. Although many methods based on U …

Diagnosis of chronic kidney disease using effective classification algorithms and recursive feature elimination techniques

EM Senan, MH Al-Adhaileh, FW Alsaade… - Journal of healthcare …, 2021 - Wiley Online Library
Chronic kidney disease (CKD) is among the top 20 causes of death worldwide and affects
approximately 10% of the world adult population. CKD is a disorder that disrupts normal …

Early diagnosis of brain tumour mri images using hybrid techniques between deep and machine learning

EM Senan, ME Jadhav, TH Rassem… - … Methods in Medicine, 2022 - Wiley Online Library
Cancer is considered one of the most aggressive and destructive diseases that shortens the
average lives of patients. Misdiagnosed brain tumours lead to false medical intervention …

Deep learning algorithms for detection and classification of gastrointestinal diseases

M Hmoud Al-Adhaileh, E Mohammed Senan… - …, 2021 - Wiley Online Library
Currently, nearly two million patients die of gastrointestinal diseases worldwide. Video
endoscopy is one of the latest technologies in the medical imaging field for the diagnosis of …

[HTML][HTML] DDCNN-F: double decker convolutional neural network'F'feature fusion as a medical image classification framework

N Veeramani, P Jayaraman, R Krishankumar… - Scientific Reports, 2024 - nature.com
Melanoma is a severe skin cancer that involves abnormal cell development. This study aims
to provide a new feature fusion framework for melanoma classification that includes a novel …

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 …

[HTML][HTML] A novel framework of multiclass skin lesion recognition from dermoscopic images using deep learning and explainable AI

N Ahmad, JH Shah, MA Khan, J Baili, GJ Ansari… - Frontiers in …, 2023 - frontiersin.org
Skin cancer is a serious disease that affects people all over the world. Melanoma is an
aggressive form of skin cancer, and early detection can significantly reduce human mortality …

Automated diagnosis of chest X‐ray for early detection of COVID‐19 disease

EM Senan, A Alzahrani, MY Alzahrani… - … Methods in Medicine, 2021 - Wiley Online Library
In March 2020, the World Health Organization announced the COVID‐19 pandemic, its
dangers, and its rapid spread throughout the world. In March 2021, the second wave of the …

A multi-stage faster RCNN-based iSPLInception for skin disease classification using novel optimization

R Josphineleela, PBV Raja Rao, A Shaikh… - Journal of Digital …, 2023 - Springer
Nowadays, skin cancer is considered a serious disorder in which early identification and
treatment of the disease are essential to ensure the stability of the patients. Several existing …