Quantifying explainers of graph neural networks in computational pathology

G Jaume, P Pati, B Bozorgtabar… - Proceedings of the …, 2021 - openaccess.thecvf.com
Explainability of deep learning methods is imperative to facilitate their clinical adoption in
digital pathology. However, popular deep learning methods and explainability techniques …

Scaling multi-instance support vector machine to breast cancer detection on the BreaKHis dataset

H Seo, L Brand, LS Barco, H Wang - Bioinformatics, 2022 - academic.oup.com
Motivation Breast cancer is a type of cancer that develops in breast tissues, and, after skin
cancer, it is the most commonly diagnosed cancer in women in the United States. Given that …

Karnauph classifier for predicting breast cancer based on morphological features

A Zabian, AZ Ibrahim - International Journal of Information Technology, 2024 - Springer
Breast cancer is the primary cause of mortality in women in the world, using artificial
intelligence in predicting, detecting and early diagnosing of breast cancer can reduce the …

Lung cancer detection and classification using CT scan image processing

N Nawreen, U Hany, T Islam - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Lung cancer is the stereotypical cancer after breast cancer in this era. The survival rate in
this cancer is less than other cancers as well. Lung cancer screening can help find cancer at …

Surface plasmon resonance to trace and measure cancer cell apoptosis using morphological and refractive index changes

NA Rais, F Abouhajar, DD Stuart… - Frontiers in Analytical …, 2024 - frontiersin.org
Morphological changes of cancer cells are often used as an important indicator within
efficiency studies of anticancer drugs. Morphological cell analysis on cell size and shape …

Detection of skin cancer through hybrid color features and soft voting ensemble classifier

A Maiti, M Sultana, S Bhattacharya - Innovations in Systems and Software …, 2022 - Springer
Recent diagnostic observations have raised concerns regarding malignancy issues in
untreated skin cancer. Over the last two decades, dermoscopy has led to non-invasive …

Feature Extraction of Microscopic Image and Construction of Target Optimization Model.

R Liu, X Gao - Acta Microscopica, 2019 - search.ebscohost.com
With the popularity of image processing technology in the world, many companies,
universities and research institutions in the world are currently working on microscopic …

[PDF][PDF] Dose-Response Curve Fitting for Individual Herbicide and Individual Weed Combination with Gompertz Function

MDA Hasan, B Rhein, H Hoffmann - researchgate.net
The primary focus of this paper is to examine the analysis of dose-response to find the
maximum efficacy for individual herbicides against individual weeds. Such studies have …

Problems of Motion Recovery and Segmentation of Cell Images in Biomedical Microscope.

Z Wang, J Wang, G Shi, D Zhang - Acta Microscopica, 2020 - search.ebscohost.com
Through quantitative research at the molecular level, discovering the pathological
mechanism of diseases and revealing the origin and formation of life are the main …