Explainable artificial intelligence-based edge fuzzy images for COVID-19 detection and identification

Q Hu, FNB Gois, R Costa, L Zhang, L Yin… - Applied Soft …, 2022 - Elsevier
The COVID-19 pandemic continues to wreak havoc on the world's population's health and
well-being. Successful screening of infected patients is a critical step in the fight against it …

Classification of hematoxylin and eosin‐stained breast cancer histology microscopy images using transfer learning with EfficientNets

C Munien, S Viriri - Computational Intelligence and …, 2021 - Wiley Online Library
Breast cancer is a fatal disease and is a leading cause of death in women worldwide. The
process of diagnosis based on biopsy tissue is nontrivial, time‐consuming, and prone to …

Automatic detection of cancer metastasis in lymph node using deep learning

E Bütün, M Uçan, M Kaya - Biomedical Signal Processing and Control, 2023 - Elsevier
Lymph node metastases are one of the most indicator of some cancer types such as breast,
colon and prostate. Breast cancer mostly spreads to lymph nodes in the armpit and it is one …

Predicting skin cancer melanoma using stacked convolutional neural networks model

KT Ahmed, F Rustam, A Mehmood, I Ashraf… - Multimedia Tools and …, 2024 - Springer
Skin malignant growth has been regarded as the most widely recognized disease in the
world and Malignant Melanoma is one of the deadliest diseases of skin cancer. Early …

[HTML][HTML] Ranking loss and sequestering learning for reducing image search bias in histopathology

P Mazaheri, AA Bidgoli, S Rahnamayan… - Applied Soft …, 2023 - Elsevier
Recently, deep learning has started to play an essential role in healthcare applications,
including image search in digital pathology. Despite the recent progress in computer vision …

DIRXNet: A Hybrid Deep Network for Classification of Breast Histopathology Images

JAA Jothi, K Damania - SN Computer Science, 2023 - Springer
Women all over the world have been battling breast cancer with an extremely high mortality
rate. Early and timely detection is essential to increase the efficiency of treatment and further …

Recognition of leukemia sub-types using transfer learning and extraction of distinguishable features using an effective machine learning approach

TI Sajon, M Chowdhury, AY Srizon… - 2023 international …, 2023 - ieeexplore.ieee.org
Although extensive research has been conducted on leukemia, the disease still accounts for
more than 350,000 fatalities annually. Automated Leukemia diagnosis may alter the …

Histopathological Cancer Detection using Deep Learning

P Ghadekar, A Khandelwal, P Roy… - … and Machine Vision …, 2021 - ieeexplore.ieee.org
Deep learning is a sophisticated machine learning technique that teaches machines what to
try and do that comes naturally to humans like understanding patterns and recognizing …

Revolutionizing Oncology: A Critical Review of Artificial Intelligence and Stem Cells in Cancer Treatment

N Mohamed, M Nachaat - … on ICT in Business Industry & …, 2023 - ieeexplore.ieee.org
Cancer continues to be a leading cause of death globally, accounting for approximately 10
million fatalities in 2020 alone. Amid this public health crisis, innovations in oncology have …

Classification of Metastatic Lymph Node Sections Using Deep Learning

C Maheshwari, P Vishnawat, S Jain… - 2023 International …, 2023 - ieeexplore.ieee.org
Cancer is an extremely aggressive disease, in which abnormal cells divide uncontrollably
and destroy vital body tissue. Metastasis is a form of cancer when cancer cells break away …