Impact of attention mechanisms for organ segmentation in chest x-ray images over U-Net model
Chest x-ray images are one of the most commonly performed imaging tests, providing
crucial clinical information about structures like the heart, lungs, ribs, bones, and blood …
crucial clinical information about structures like the heart, lungs, ribs, bones, and blood …
Osteo-Doc: KL-grading of osteoarthritis using deep-learning
Various deep learning frameworks are being proposed for autonomous detection of
diseases to contribute towards telemedicine. Moreover, in spite of low doctor to patient ratio …
diseases to contribute towards telemedicine. Moreover, in spite of low doctor to patient ratio …
Automatic detection and classification of scoliosis from spine X-rays using transfer learning
Scoliosis is a typical spinal disease that causes the spine to curve. Early treatment during
the formation of the spine can greatly reduce the chances of health issues. Diagnosis of …
the formation of the spine can greatly reduce the chances of health issues. Diagnosis of …
Segmentation of chest X-ray images using U-Net model
MY Kamil, SA Hashem - Mendel, 2022 - 46.28.109.63
Medical imaging, such as chest X-rays, gives an acceptable image of lung functions.
Manipulating these images by a radiologist is difficult, thus delaying the diagnosis …
Manipulating these images by a radiologist is difficult, thus delaying the diagnosis …
A composite dataset of lumbar spine images with mid-sagittal view annotations and clinically significant spinal measurements
The modern computer-aided screening systems re-quire a large amount of well-annotated
training data to produce robust and consistent diagnostic performance. Furthermore, the …
training data to produce robust and consistent diagnostic performance. Furthermore, the …
Convolutional neural network based thermal image classification
Q Ashfaq, MU Akram - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
Classification of Thermal Images has been extensively used for its significant applications in
many fields. There are many problems with the visible spectrum like object shadows, clothes …
many fields. There are many problems with the visible spectrum like object shadows, clothes …
A dilated residual hierarchically fashioned segmentation framework for extracting Gleason tissues and grading prostate cancer from whole slide images
Prostate cancer (PCa) is the second deadliest form of cancer in males, and it can be
clinically graded by examining the structural representations of Gleason tissues. This paper …
clinically graded by examining the structural representations of Gleason tissues. This paper …
Baggage threat detection under extreme class imbalance
Automatic detection of prohibited items is a critical but difficult task during aviation security.
Manual detection of such items is a time-consuming process that is also limited by the …
Manual detection of such items is a time-consuming process that is also limited by the …
Programmable broad learning system to detect concealed and imbalanced baggage threats
Manual screening of baggage at airports, shopping malls, and shipments to identify
potentially dangerous items is a time-consuming process that requires the unwavering …
potentially dangerous items is a time-consuming process that requires the unwavering …
Improved lung segmentation based on U-Net architecture and morphological operations
An essential stage in computer aided diagnosis of chest X rays is automated lung
segmentation. Due to rib cages and the unique modalities of each persons lungs, it is …
segmentation. Due to rib cages and the unique modalities of each persons lungs, it is …