[PDF][PDF] Classification Of Colon Cancer Using Deep Learning Techniques On Histopathological Images

AA Khan, M Arslan, A Tanzil, RA Bhatty… - Migration …, 2024 - researchgate.net
Colon cancer is widely spread and deadly type of cancer in humans. Smoking contributes to
the growth of lung cancer, which leads to an unbalanced diet, which can lead to colon …

A gentle introduction to computer vision‐based specimen classification in ecological datasets

JD Blair, KM Gaynor, MS Palmer… - Journal of Animal …, 2024 - Wiley Online Library
Classifying specimens is a critical component of ecological research, biodiversity monitoring
and conservation. However, manual classification can be prohibitively time‐consuming and …

Transformer-based semantic segmentation and CNN network for detection of histopathological lung cancer

LF Talib, J Amin, M Sharif, M Raza - Biomedical Signal Processing and …, 2024 - Elsevier
The lungs are a very important organ in a human. Any abnormality in the lungs ultimately
affects the whole body. Pulmonary nodules-initiated lung cancer that is very small in size …

A data-driven decision-making approach for evaluating the projects according to resilience, circular economy and industry 4.0 dimension

S Nessari, M Ghanavati-Nejad, F Jolai… - … Applications of Artificial …, 2024 - Elsevier
Multi-industry organizations constantly define new projects for development and
progression. However, the noteworthy point is that there are many options for defining new …

Automated histopathological detection and classification of lung cancer with an image pre-processing pipeline and spatial attention with deep neural networks

T Nayak, N Gokulkrishnan, K Chadaga… - Cogent …, 2024 - Taylor & Francis
Lung Cancer is a major cancer in the world and specifically India. Histopathological
examination of tumorous tissue biopsy is the gold standard method used to clinically identify …

Potentials of artificial intelligence in familial hypercholesterolemia: Advances in screening, diagnosis, and risk stratification for early intervention and treatment

M Athar - International Journal of Cardiology, 2024 - Elsevier
Familial hypercholesterolemia (FH) poses a global health challenge due to high incidence
rates and underdiagnosis, leading to increased risks of early-onset atherosclerosis and …

Large-scale histopathological colon cancer annotation model using machine learning techniques

EA Hamed, M Tolba, N Badr… - International Journal of …, 2023 - journals.ekb.eg
Colon cancer ranks among the leading factors contributing to mortality and morbidity among
adults. One of the main components in determining the kind of cancer is the …

[HTML][HTML] Construction of diagnostic models for the progression of hepatocellular carcinoma using machine learning

X Jiang, R Zhou, F Jiang, Y Yan, Z Zhang… - Frontiers in …, 2024 - ncbi.nlm.nih.gov
Liver cancer is one of the most prevalent forms of cancer worldwide. A significant proportion
of patients with hepatocellular carcinoma (HCC) are diagnosed at advanced stages, leading …

Prediction Technology of a Reservoir Development Model While Drilling Based on Machine Learning and Its Application

X Wang, M Mao, Y Yang, S Yuan, M Guo, H Li… - Processes, 2024 - mdpi.com
In order to further understand the complex spatial distribution caused by the extremely
strong heterogeneity of buried hill reservoirs, this paper proposes a new method for …

Calibration of CAMS PM2. 5 data over Hungary: A machine learning approach

A Qor-el-aine, A Béres, G Géczi - Environmental Research …, 2024 - iopscience.iop.org
Air pollution is a major environmental problem, and reliable monitoring of particulate matter
(PM) concentrations is critical for assessing its impact on human health and the …