Deep learning in breast cancer imaging: A decade of progress and future directions
Breast cancer has reached the highest incidence rate worldwide among all malignancies
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …
Clinical applications of deep learning in breast MRI
X Zhao, JW Bai, Q Guo, K Ren, GJ Zhang - Biochimica et Biophysica Acta …, 2023 - Elsevier
Deep learning (DL) is one of the most powerful data-driven machine-learning techniques in
artificial intelligence (AI). It can automatically learn from raw data without manual feature …
artificial intelligence (AI). It can automatically learn from raw data without manual feature …
Development and validation of a deep learning model for breast lesion segmentation and characterization in multiparametric MRI
J Zhu, J Geng, W Shan, B Zhang, H Shen… - Frontiers in …, 2022 - frontiersin.org
Importance The utilization of artificial intelligence for the differentiation of benign and
malignant breast lesions in multiparametric MRI (mpMRI) assists radiologists to improve …
malignant breast lesions in multiparametric MRI (mpMRI) assists radiologists to improve …
Breast MRI Segmentation by Deep Learning: Key Gaps and Challenges
Breast segmentation in magnetic resonance imaging (MRI) slices plays a vital role in early
diagnosis and treatment planning of breast anomalies. Convolutional neural networks with …
diagnosis and treatment planning of breast anomalies. Convolutional neural networks with …
Computer‐Aided Detection (CADe) and Segmentation Methods for Breast Cancer Using Magnetic Resonance Imaging (MRI)
Breast cancer continues to be a major health concern, and early detection is vital for
enhancing survival rates. Magnetic resonance imaging (MRI) is a key tool due to its …
enhancing survival rates. Magnetic resonance imaging (MRI) is a key tool due to its …
A convolutional neural network-based auto-segmentation pipeline for breast cancer imaging
Medical imaging is crucial for the detection and diagnosis of breast cancer. Artificial
intelligence and computer vision have rapidly become popular in medical image analyses …
intelligence and computer vision have rapidly become popular in medical image analyses …
Breast lesions segmentation using dual-level unet (dl-unet)
Breast disease is one of the primary diseases endangering women's health. Accurate
segmentation of breast lesions can help doctors diagnose breast diseases. However, the …
segmentation of breast lesions can help doctors diagnose breast diseases. However, the …
Deep-Learning based Identification of Suspicious Areas in Breast MRIs
BE Röthlin - 2024 - repositum.tuwien.at
Breast cancer is the most common cancer in women, accounting for 23.8% of female
cancers. Genetic testing or risk models using categorical variables are used to evaluate an …
cancers. Genetic testing or risk models using categorical variables are used to evaluate an …
MR-radiomic-based pathological response prediction to neoadjuvant chemotherapy in breast cancer
M FEDON VOCATURO - thesis.unipd.it
In the evolving landscape of artificial intelligence (AI) and personalized medicine, the
significance of employing supervised and unsupervised learning techniques has surged …
significance of employing supervised and unsupervised learning techniques has surged …
[PDF][PDF] BBA-Reviews on Cancer
C Tam, S Rao, MMY Waye, TB Ng, CC Wang - researchgate.net
Gynecological cancers are characterized by a high mortality rate when chemoresistance
develops. Autophagy collaborates with apoptosis and participates in homeostasis of …
develops. Autophagy collaborates with apoptosis and participates in homeostasis of …