A Comparative Performance Analysis of SVM Kernels in Automated Breast Cancer Diagnosis DOI
Hendra Kurniawan, Afrig Aminuddin, Tonny Hidayat

et al.

Published: Dec. 12, 2024

Language: Английский

Integrating sparse graph convolution and capsule networks for superior breast cancer diagnosis DOI

P. Manju Bala,

U. Palani

Evolving Systems, Journal Year: 2025, Volume and Issue: 16(2)

Published: March 13, 2025

Language: Английский

Citations

0
Systematic Review on Breast Cancer Prediction and Classification by using Machine Learning and Deep Learning Methods DOI

Sampoornamma Sudarsa,

R. Pradeep Kumar Reddy

Published: Oct. 3, 2024

Language: Английский

Citations

1
Early cancer detection using deep learning and medical imaging: A survey DOI Creative Commons
Istiak Ahmad, Fahad Alqurashi

Critical Reviews in Oncology/Hematology, Journal Year: 2024, Volume and Issue: 204, P. 104528 - 104528

Published: Oct. 15, 2024

Cancer, characterized by the uncontrolled division of abnormal cells that harm body tissues, necessitates early detection for effective treatment. Medical imaging is crucial identifying various cancers, yet its manual interpretation radiologists often subjective, labour-intensive, and time-consuming. Consequently, there a critical need an automated decision-making process to enhance cancer diagnosis. Previously, lot work was done on surveys different methods, most them were focused specific cancers limited techniques. This study presents comprehensive survey methods. It entails review 99 research articles collected from Web Science, IEEE, Scopus databases, published between 2020 2024. The scope encompasses 12 types cancer, including breast, cervical, ovarian, prostate, esophageal, liver, pancreatic, colon, lung, oral, brain, skin cancers. discusses techniques, medical data, image preprocessing, segmentation, feature extraction, deep learning transfer evaluation metrics. Eventually, we summarised datasets techniques with challenges limitations. Finally, provide future directions enhancing

Language: Английский

Citations

0
Deep learning approaches for detection, classification, and localization of breast cancer using microscopic images: A review and bibliometric analysis DOI
Sonam Tyagi, Subodh Srivastava, Bikash Chandra Sahana

et al.

Research on Biomedical Engineering, Journal Year: 2024, Volume and Issue: 41(1)

Published: Dec. 27, 2024

Language: Английский

Citations

0
A Comparative Performance Analysis of SVM Kernels in Automated Breast Cancer Diagnosis DOI
Hendra Kurniawan, Afrig Aminuddin, Tonny Hidayat

et al.

Published: Dec. 12, 2024

Language: Английский

Citations

0