Brain tumor detection and classification using machine learning: a comprehensive survey

J Amin, M Sharif, A Haldorai, M Yasmin… - Complex & intelligent …, 2022 - Springer
Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …

Computer-aided diagnosis of skin cancer: a review

N Razmjooy, M Ashourian, M Karimifard… - Current medical …, 2020 - ingentaconnect.com
Cancer is currently one of the main health issues in the world. Among different varieties of
cancers, skin cancer is the most common cancer in the world and accounts for 75% of the …

Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images

MI Sharif, JP Li, MA Khan, MA Saleem - Pattern Recognition Letters, 2020 - Elsevier
Glioma is a kind of brain tumor that can arise at a distinct location along with dissimilar
appearance and size. The high-grade glioma (HGG) is a serious kind of cancer when …

An inception‐ResNet deep learning approach to classify tumours in the ovary as benign and malignant

A Kodipalli, S Guha, S Dasar, T Ismail - Expert Systems, 2022 - Wiley Online Library
The classification of tumours into benign and malignant continues to date to be a very
relevant and significant research topic in the cancer research domain. With the advent of …

Segmentation and classification of ovarian cancer based on conditional adversarial image to image translation approach

A Kodipalli, S Devi, S Dasar, T Ismail - Expert Systems, 2022 - Wiley Online Library
Medical image analysis and disease diagnosis have significantly improved with the use of AI
and Machine Learning algorithms. Automated systems for medical image analysis will help …

Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection

MA Khan, MI Sharif, M Raza, A Anjum, T Saba… - Expert …, 2022 - Wiley Online Library
Automated skin lesion diagnosis from dermoscopic images is a difficult process due to
several notable problems such as artefacts (hairs), irregularity, lesion shape, and irrelevant …

Melanoma lesion detection and segmentation using YOLOv4-DarkNet and active contour

S Albahli, N Nida, A Irtaza, MH Yousaf… - IEEE …, 2020 - ieeexplore.ieee.org
Melanoma is the skin cancer caused by the ultraviolet radiation from the Sun and has only
15-20% of survival rate. Late diagnosis of melanoma leads to the severe malignancy of …

Detection of brain tumor based on features fusion and machine learning

J Amin, M Sharif, M Raza, M Yasmin - Journal of Ambient Intelligence and …, 2024 - Springer
Automated detection of brain tumor is a more challenging work due to the variability and
complexity of shape, size, texture and location of lesions. The non-invasive MRI methods …

Social group optimization supported segmentation and evaluation of skin melanoma images

N Dey, V Rajinikanth, AS Ashour, JMRS Tavares - Symmetry, 2018 - mdpi.com
The segmentation of medical images by computational methods has been claimed by the
medical community, which has promoted the development of several algorithms regarding …

Contrast enhanced medical MRI evaluation using Tsallis entropy and region growing segmentation

NSM Raja, SL Fernandes, N Dey, SC Satapathy… - Journal of Ambient …, 2024 - Springer
In medical domain, diseases in critical internal organs are generally inspected using
invasive/non-invasive imaging techniques. Magnetic resonance imaging (MRI) is one of the …