[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 …
Morphattnnet: an attention-based morphology framework for lung cancer subtype classification
Lung cancer is recognized as the most life-threatening cancer among other type of cancers
all over the world. Early stage recognition and proper diagnosis can increase the five-year …
all over the world. Early stage recognition and proper diagnosis can increase the five-year …
Advancing mammography breast mass detection through diffusion segmentation
Medicine has become a necessary component of our daily life in the modern world. In this
ever-changing environment, computer-aided diagnosis (CAD) has evolved as a dynamic …
ever-changing environment, computer-aided diagnosis (CAD) has evolved as a dynamic …
Correlating electrochemical stimulus to structural change in liquid electron microscopy videos using the structural dissimilarity metric
In-situ liquid cell transmission electron microscopy (LCTEM) with electrical biasing
capabilities has emerged as an invaluable tool for directly imaging electrode processes with …
capabilities has emerged as an invaluable tool for directly imaging electrode processes with …
Multimodal breast cancer hybrid explainable computer-aided diagnosis using medical mammograms and ultrasound Images
Breast cancer is a prevalent global disease where early detection is crucial for effective
treatment and reducing mortality rates. To address this challenge, a novel Computer-Aided …
treatment and reducing mortality rates. To address this challenge, a novel Computer-Aided …
Classification of clustered microcalcifications using different variants of backpropagation training algorithms
In mammography, the most frequently type of breast cancer recognized is DCISand the most
frequent signs of DCIS are MCCs. In the proposed research work, MCs are enhanced using …
frequent signs of DCIS are MCCs. In the proposed research work, MCs are enhanced using …
LW-MorphCNN: a lightweight morphological attention-based subtype classification network for lung cancer
X Fan, Y Lu, B Hu, Y Shi, B Sun - Measurement Science and …, 2024 - iopscience.iop.org
Lung cancer is generally considered one of the most deadly cancers globally. If it can be
identified early and diagnosed correctly, the survival probability of patients can be …
identified early and diagnosed correctly, the survival probability of patients can be …
A new collaborative classification process for microcalcification detection based on graphs and knowledge propagation
In this paper, we propose a new collaborative process that aims to detect macrocalcifications
from mammographic images while minimizing false negative detections. This process is …
from mammographic images while minimizing false negative detections. This process is …
Multi-Vehicle Speed Estimation Algorithm Based on Real-Time Inter-Frame Tracking Technique
Inappropriate vehicle speeding remains a central factor that causes road accidents claiming
millions of lives every year. This challenge has raised concerns for vehicle speed estimation …
millions of lives every year. This challenge has raised concerns for vehicle speed estimation …
Calcification Recognition: A Preliminary Result Based on a Computational Conceptual Model
FE Martínez-Perez, A Núñez-Varela… - … Computing and Ambient …, 2024 - Springer
Breast cancer, as a disease with high incidence among women, has motived computer
science researchers to create support tools with the aim of helping radiologists its early …
science researchers to create support tools with the aim of helping radiologists its early …