Deep learning approaches to detect breast cancer: a comprehensive review
AM Sharafaddini, KK Esfahani, N Mansouri - Multimedia Tools and …, 2024 - Springer
Detection and diagnosis of breast cancer have greatly benefited from advances in deep
learning, addressing the critical problem of early detection and accurate diagnosis. This …
learning, addressing the critical problem of early detection and accurate diagnosis. This …
The coming of age of interpretable and explainable machine learning models
Abstract Machine-learning-based systems are now part of a wide array of real-world
applications seamlessly embedded in the social realm. In the wake of this realization, strict …
applications seamlessly embedded in the social realm. In the wake of this realization, strict …
[HTML][HTML] Explainable machine learning for breast cancer diagnosis from mammography and ultrasound images: a systematic review
D kaba Gurmessa, W Jimma - BMJ Health & Care Informatics, 2024 - ncbi.nlm.nih.gov
Background Breast cancer is the most common disease in women. Recently, explainable
artificial intelligence (XAI) approaches have been dedicated to investigate breast cancer. An …
artificial intelligence (XAI) approaches have been dedicated to investigate breast cancer. An …
[HTML][HTML] Feature learning based on connectivity estimation for unbiased mammography mass classification
G Li, R Zwiggelaar - Computer Vision and Image Understanding, 2024 - Elsevier
Breast cancer is the most commonly diagnosed female malignancy worldwide. Recent
developments in deep convolutional neural networks have shown promising performance …
developments in deep convolutional neural networks have shown promising performance …
Feasibility and early clinical impact of precision medicine for late-stage cancer patients in a regional public academic hospital
M Ladekarl, AK Nøhr, M Sønderkær, SC Dahl… - Acta …, 2023 - Taylor & Francis
Aim Our goal was to describe a precision medicine program in a regional academic hospital,
characterize features of included patients and present early data on clinical impact …
characterize features of included patients and present early data on clinical impact …
Breast Cancer Classification Techniques–An Investigation
L Agilandeeswari, K Jajitha… - … Conference on Soft …, 2022 - Springer
According to statistics around the world, breast cancer is one among the diseases that leads
to fatal death, and the way to protect human life is early detection. In recent years, the ratio of …
to fatal death, and the way to protect human life is early detection. In recent years, the ratio of …
Machine Learning no supervisado para el estudio de fibrilación auricular a nivel poblacional
PE Rendon Hormiga - 2024 - dspace-escuelaing.metacatalogo …
La fibrilación auricular, una arritmia común, afecta a 1 de cada 100 personas, aumentando
a 1 de cada 10 en ancianos. Esta condición puede llevar a complicaciones como infartos y …
a 1 de cada 10 en ancianos. Esta condición puede llevar a complicaciones como infartos y …
Ultrason Tabanlı Meme Kanseri Görüntülerinin Derin Öğrenme Yaklaşımları ile Sınıflandırılması
FF Ateş, A Çalışkan, M Toğaçar - Fırat Üniversitesi Fen Bilimleri …, 2022 - dergipark.org.tr
Meme kanseri bayanlar arasında en sık görülen kanser türlerinden biridir. Diğer kanser
türlerinde olduğu gibi meme kanseri hastalarının tedavisinde erken tanı önemlidir. Son …
türlerinde olduğu gibi meme kanseri hastalarının tedavisinde erken tanı önemlidir. Son …
[PDF][PDF] Ultrason Tabanlı Meme Kanseri Görüntülerinin Derin Öğrenme Yaklaşımları ile Sınıflandırılması.
A ÇALIŞKAN, FF ATEŞ… - Firat University Journal of …, 2022 - researchgate.net
Meme kanseri bayanlar arasında en sık görülen kanser türlerinden biridir. Diğer kanser
türlerinde olduğu gibi meme kanseri hastalarının tedavisinde erken tanı önemlidir. Son …
türlerinde olduğu gibi meme kanseri hastalarının tedavisinde erken tanı önemlidir. Son …