[HTML][HTML] Computer-aided breast cancer detection and classification in mammography: A comprehensive review
Cancer is the second cause of mortality worldwide and it has been identified as a perilous
disease. Breast cancer accounts for∼ 20% of all new cancer cases worldwide, making it a …
disease. Breast cancer accounts for∼ 20% of all new cancer cases worldwide, making it a …
Classification techniques in breast cancer diagnosis: a systematic literature review
Data mining (DM) consists in analysing a set of observations to find unsuspected
relationships and then summarising the data in new ways that are both understandable and …
relationships and then summarising the data in new ways that are both understandable and …
A dual-mode deep transfer learning (D2TL) system for breast cancer detection using contrast enhanced digital mammograms
Full-field digital mammography (FFDM) and magnetic resonance imaging (MRI) are gold-
standard techniques for breast cancer detection. The newly contrast-enhanced digital …
standard techniques for breast cancer detection. The newly contrast-enhanced digital …
Application and research of computer aided technology in clothing design driven by emotional elements
J Liu - International Journal of System Assurance Engineering …, 2023 - Springer
With the advent of the information age, people's dress is developing towards fashion,
personalization, novelty, sample, high quality and high-grade. Therefore, clothing computer …
personalization, novelty, sample, high quality and high-grade. Therefore, clothing computer …
Multi-tasking U-shaped network for benign and malignant classification of breast masses
The benign and malignant (BM) classification of breast masses based on mammography is
a key step in the diagnosis of early breast cancer and an effective way to improve the …
a key step in the diagnosis of early breast cancer and an effective way to improve the …
Multi-scale sifting for mammographic mass detection and segmentation
Breast mass detection and segmentation are challenging tasks due to the fact that breast
masses vary in size and appearance. In this work, we present a simultaneous detection and …
masses vary in size and appearance. In this work, we present a simultaneous detection and …
Advancements in Breast Cancer Diagnosis: A Comprehensive Review of Mammography Datasets, Preprocessing and Classification Techniques
Breast cancer, a pervasive global health concern, necessitates early detection for an
improved prognosis. Mammography, a pivotal screening tool, faces challenges in …
improved prognosis. Mammography, a pivotal screening tool, faces challenges in …
Development of a 3D breast shape generation and deformation system for breast implant fabrication
The early detection rate of breast cancer and its relative survival rate are persistently
increasing, thanks to an active approach to breast cancer exams and enhancement of …
increasing, thanks to an active approach to breast cancer exams and enhancement of …
New Structure of CCR with an AOANN Threshold
In this paper, artificial neural network-based adaptive optimal threshold estimation for a two-
dimensional optical code division multiple access conventional correlation receiver is …
dimensional optical code division multiple access conventional correlation receiver is …
Application of image matching in pathological image diagnosis of breast masses
T Zhao, Y Fan - AOPC 2020: Optical Sensing and Imaging …, 2020 - spiedigitallibrary.org
Among pathological images, there are usually some typical patient structures. For these
typical images, template matching can be used for diagnosis, thereby the workload of …
typical images, template matching can be used for diagnosis, thereby the workload of …