BreastNet18: a high accuracy fine-tuned VGG16 model evaluated using ablation study for diagnosing breast cancer from enhanced mammography images

S Montaha, S Azam, AKMRH Rafid, P Ghosh… - Biology, 2021 - mdpi.com
Simple Summary Breast cancer diagnosis at an early stage using mammography is
important, as it assists clinical specialists in treatment planning to increase survival rates …

FabNet: A features agglomeration-based convolutional neural network for multiscale breast cancer histopathology images classification

MS Amin, H Ahn - Cancers, 2023 - mdpi.com
Simple Summary Histology sample images are usually diagnosed definitively based on the
radiologist's extensive knowledge, yet, owing to the highly gritty visual appearance of such …

Adaptive magnification network for precise tumor analysis in histopathological images

S Iqbal, AN Qureshi, K Aurangzeb, M Alhussein… - Computers in Human …, 2024 - Elsevier
The variable magnification levels in histopathology images make it difficult to accurately
categorize tumor regions in breast cancer histology. In this study, a novel architecture for …

[PDF][PDF] FabNet: A Features Agglomeration-Based Convolutional Neural Network for Multiscale Breast Cancer Histopathology Images Classification. Cancers (Basel) …

MS Amin, H Ahn - 2023 - academia.edu
The definitive diagnosis of histology specimen images is largely based on the radiologist's
comprehensive experience; however, due to the fine to the coarse visual appearance of …

Transformative insights: Image-based breast cancer detection and severity assessment through advanced AI techniques

A Patra, P Biswas, SK Behera, NK Barpanda… - Journal of Intelligent …, 2024 - degruyter.com
In the realm of image-based breast cancer detection and severity assessment, this study
delves into the revolutionary potential of sophisticated artificial intelligence (AI) techniques …

A survey on machine learning approaches used in breast cancer detection

P Sriramakrishnan - 2022 4th International Conference on …, 2022 - ieeexplore.ieee.org
Breast cancer is growing increasingly detrimental to women's lives. Breast cancer, along
with cervical cancer, is the leading cause of death among women. Early disease detection is …

Sustainable Health Care System for Cognitive Breast Cancer Detection using Machine Learning

P Ranjitha, KN Bhanu, S Jain… - 2022 IEEE 2nd Mysore …, 2022 - ieeexplore.ieee.org
Cancer of the breast is a common cause of death in women. It is the second most origin of
cancer deaths in women. For classifying breast tumors using image processing techniques …

Power monitoring and control system for medium voltage smart grid using IoT

C Babu, DD Kumar, K Kumar, KJ Reddy… - IOP Conference Series …, 2020 - iopscience.iop.org
This paper presents a power monitoring and control system for a medium voltage smart grid
system. The smart grid interconnects the power sources between solar PV panel and 220V …

Classification Techniques for Diagnosis

S Patro, J Mishra, BS Panda - … in Internet of Things (IoT): Key …, 2025 - books.google.com
Breast cancer is often curable if discovered in its early stages. Machine learning algorithms
are used to automate disease identification. To increase the likelihood of recognizing the …

Breast Tumor Detection Using Machine Learning and Deep Learning Algorithm

V Kiruthika, G Aasthikka, KD Archana… - 2023 International …, 2023 - ieeexplore.ieee.org
Breast tumour is the most prevalent frequent malignancy inside the world, and women are
more likely to develop one. This is the world's second greatest cause of mortality for women …