AIMC Topic: Mammary Neoplasms, Animal

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Machine learning approach in canine mammary tumour classification using rapid evaporative ionization mass spectrometry.

Analytical and bioanalytical chemistry Nov 19, 2024
Rapid evaporative ionization mass spectrometry (REIMS) coupled with a monopolar handpiece used for surgical resection and combined with chemometrics has been previously explored by our research group (Mangraviti et al. in Int J Mol Sci 23(18):10562, ...
Machine Learning Female Animals Mass Spectrometry Dogs Dog Diseases Phospholipids Mammary Neoplasms, Animal
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Enhancing electrochemical detection through machine learning-driven prediction for canine mammary tumor biomarker with green silver nanoparticles.

Analytical and bioanalytical chemistry Jul 20, 2024
This study developed an innovative biosensor strategy for the sensitive and selective detection of canine mammary tumor biomarkers, cancer antigen 15-3 (CA 15-3) and mucin 1 (MUC-1), integrating green silver nanoparticles (GAgNPs) with machine learni...
Machine Learning Female Biomarkers, Tumor Animals Biosensing Techniques Electrochemical Techniques Metal Nanoparticles Limit of Detection Silver Dogs Dog Diseases Mucin-1 Mammary Neoplasms, Animal
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Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learning.

Scientific reports Aug 21, 2023
Tumour heterogeneity in breast cancer poses challenges in predicting outcome and response to therapy. Spatial transcriptomics technologies may address these challenges, as they provide a wealth of information about gene expression at the cell level, ...
Animals Gene Expression Profiling Transcriptome Deep Learning Electric Power Supplies Mammary Neoplasms, Animal
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Classification of breast tumors by using a novel approach based on deep learning methods and feature selection.

Breast cancer research and treatment May 21, 2023
PURPOSE: Cancer is one of the most insidious diseases that the most important factor in overcoming the cancer is early diagnosis and detection. The histo-pathological images are used to determine whether the tissue is cancerous and the type of cancer...
Humans Neural Networks, Computer Female Breast Neoplasms Animals Deep Learning Image Processing, Computer-Assisted Mammary Neoplasms, Animal
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Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods.

Computers in biology and medicine Dec 19, 2022
The Global Cancer Statistics 2020 reported breast cancer (BC) as the most common diagnosis of cancer type. Therefore, early detection of such type of cancer would reduce the risk of death from it. Breast imaging techniques are one of the most frequen...
Humans Machine Learning Female Breast Neoplasms Animals Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Mammography Mammary Neoplasms, Animal
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