Applying deep learning for breast cancer detection in radiology
E Mahoro, MA Akhloufi - Current Oncology, 2022 - mdpi.com
Recent advances in deep learning have enhanced medical imaging research. Breast cancer
is the most prevalent cancer among women, and many applications have been developed to …
is the most prevalent cancer among women, and many applications have been developed to …
[HTML][HTML] Deep learning facilitates multi-data type analysis and predictive biomarker discovery in cancer precision medicine
Cancer progression is linked to gene-environment interactions that alter cellular
homeostasis. The use of biomarkers as early indicators of disease manifestation and …
homeostasis. The use of biomarkers as early indicators of disease manifestation and …
ResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides
Carcinoma is a primary source of morbidity in women globally, with metastatic disease
accounting for most deaths. Its early discovery and diagnosis may significantly increase the …
accounting for most deaths. Its early discovery and diagnosis may significantly increase the …
BreaST-Net: Multi-class classification of breast cancer from histopathological images using ensemble of swin transformers
Breast cancer (BC) is one of the deadly forms of cancer, causing mortality worldwide in the
female population. The standard imaging procedures for screening BC involve …
female population. The standard imaging procedures for screening BC involve …
Deep Learning for Automated Lesion Detection in Mammography
T Marimuthu, VA Rajan, GV Londhe… - 2023 IEEE 2nd …, 2023 - ieeexplore.ieee.org
Deep learning for automated lesion detection in mammography has gained widespread
attention due to its potential to reduce the time needed for radiologists to detect lesions …
attention due to its potential to reduce the time needed for radiologists to detect lesions …
Forest fire surveillance systems: A review of deep learning methods
This review aims to critically examine the existing state-of-the-art forest fire detection
systems that are based on deep learning methods. In general, forest fire incidences bring …
systems that are based on deep learning methods. In general, forest fire incidences bring …
Enhancing ductal carcinoma classification using transfer learning with 3D U-net models in breast cancer imaging
Breast cancer ranks among the leading causes of death for women globally, making it
imperative to swiftly and precisely detect the condition to ensure timely treatment and …
imperative to swiftly and precisely detect the condition to ensure timely treatment and …
[HTML][HTML] A novel fusion framework of deep bottleneck residual convolutional neural network for breast cancer classification from mammogram images
K Jabeen, MA Khan, MA Hameed, O Alqahtani… - Frontiers in …, 2024 - frontiersin.org
With over 2.1 million new cases of breast cancer diagnosed annually, the incidence and
mortality rate of this disease pose severe global health issues for women. Identifying the …
mortality rate of this disease pose severe global health issues for women. Identifying the …
Deep-learning enabled ultrasound based detection of gallbladder cancer in northern India: a prospective diagnostic study
Background Gallbladder cancer (GBC) is highly aggressive. Diagnosis of GBC is
challenging as benign gallbladder lesions can have similar imaging features. We aim to …
challenging as benign gallbladder lesions can have similar imaging features. We aim to …
Future of artificial intelligence applications in cancer care: a global cross-sectional survey of researchers
Cancer significantly contributes to global mortality, with 9.3 million annual deaths. To
alleviate this burden, the utilization of artificial intelligence (AI) applications has been …
alleviate this burden, the utilization of artificial intelligence (AI) applications has been …