A comprehensive survey on deep-learning-based breast cancer diagnosis
Simple Summary Breast cancer was diagnosed in 2.3 million women, and around 685,000
deaths from breast cancer were recorded globally in 2020, making it the most common …
deaths from breast cancer were recorded globally in 2020, making it the most common …
Medical image based breast cancer diagnosis: State of the art and future directions
The intervention of medical imaging has significantly improved early diagnosis of breast
cancer. Different radiological and microscopic imaging modalities are frequently utilized by …
cancer. Different radiological and microscopic imaging modalities are frequently utilized by …
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images
Tumor classification and segmentation are two important tasks for computer-aided diagnosis
(CAD) using 3D automated breast ultrasound (ABUS) images. However, they are …
(CAD) using 3D automated breast ultrasound (ABUS) images. However, they are …
Ensemble deep-learning-enabled clinical decision support system for breast cancer diagnosis and classification on ultrasound images
Simple Summary In the literature, there exist plenty of research works focused on the
detection and classification of breast cancer. However, only a few works have focused on …
detection and classification of breast cancer. However, only a few works have focused on …
Retina U-Net: Embarrassingly simple exploitation of segmentation supervision for medical object detection
The task of localizing and categorizing objects in medical images often remains formulated
as a semantic segmentation problem. This approach, however, only indirectly solves the …
as a semantic segmentation problem. This approach, however, only indirectly solves the …
[HTML][HTML] Deep learning reveals cancer metastasis and therapeutic antibody targeting in the entire body
Reliable detection of disseminated tumor cells and of the biodistribution of tumor-targeting
therapeutic antibodies within the entire body has long been needed to better understand …
therapeutic antibodies within the entire body has long been needed to better understand …
Deeply-supervised networks with threshold loss for cancer detection in automated breast ultrasound
ABUS, or Automated breast ultrasound, is an innovative and promising method of screening
for breast examination. Comparing to common B-mode 2D ultrasound, ABUS attains …
for breast examination. Comparing to common B-mode 2D ultrasound, ABUS attains …
Uncertainty aware temporal-ensembling model for semi-supervised abus mass segmentation
Accurate breast mass segmentation of automated breast ultrasound (ABUS) images plays a
crucial role in 3D breast reconstruction which can assist radiologists in surgery planning …
crucial role in 3D breast reconstruction which can assist radiologists in surgery planning …
Fine-tuning U-Net for ultrasound image segmentation: different layers, different outcomes
One way of resolving the problem of scarce and expensive data in deep learning for medical
applications is using transfer learning and fine-tuning a network which has been trained on …
applications is using transfer learning and fine-tuning a network which has been trained on …
Ultrasound medical imaging techniques: a survey
Ultrasound (US) imaging for medical purposes has been increasing in popularity over the
years. The US technology has some valuable strengths, such as it is harmless, very cheap …
years. The US technology has some valuable strengths, such as it is harmless, very cheap …