Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray

D Pal, PB Reddy, S Roy - Computers in Biology and Medicine, 2022 - Elsevier
Background and objective Automatic segmentation and annotation of medical image plays a
critical role in scientific research and the medical care community. Automatic segmentation …

Developing a tuned three-layer perceptron fed with trained deep convolutional neural networks for cervical cancer diagnosis

S Fekri-Ershad, MF Alsaffar - Diagnostics, 2023 - mdpi.com
Cervical cancer is one of the most common types of cancer among women, which has
higher death-rate than many other cancer types. The most common way to diagnose cervical …

Deep learning-based computer-aided pneumothorax detection using chest X-ray images

P Malhotra, S Gupta, D Koundal, A Zaguia, M Kaur… - Sensors, 2022 - mdpi.com
Pneumothorax is a thoracic disease leading to failure of the respiratory system, cardiac
arrest, or in extreme cases, death. Chest X-ray (CXR) imaging is the primary diagnostic …

Automatic Segmentation of Bone Marrow Lesions on MRI Using a Deep Learning Method

R Ponnusamy, M Zhang, Y Wang, X Sun… - Bioengineering, 2024 - mdpi.com
Bone marrow lesion (BML) volume is a potential biomarker of knee osteoarthritis (KOA) as it
is associated with cartilage degeneration and pain. However, segmenting and quantifying …

PTXNet: An extended UNet model based segmentation of pneumothorax from chest radiography images

A Patel, A Vidyarthi - Expert Systems, 2022 - Wiley Online Library
In the respiratory analysis of human beings, lungs play an important role and can be used to
find several associated diseases. One of such conditions is called pneumothorax which …

Breast Cancer Segmentation from Ultrasound Images Using ResNext-based U-Net Model

O Katar, Ö Yıldırım - Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 2023 - dergipark.org.tr
Breast cancer is a type of cancer caused by the uncontrolled growth and proliferation of cells
in the breast tissue. Differentiating between benign and malignant tumors is critical in the …

Microgrid TestBed for Temporal Forecasting Patterns of Failure for Smart Cities

A Qashou, S Yousef, A Okoro, F Hazzaa - Technology and Talent …, 2023 - emerald.com
The malfunction variables of power stations are related to the areas of weather, physical
structure, control and load behaviour. To predict temporal power failure is difficult due to …

Comprehensive Experiments on Breast Cancer Hematoxylin and Eosin-stained Images Using UNet

E Jackson, F Le, JDI Lisbon, M Coleman… - Proceedings of the …, 2024 - dl.acm.org
The current challenge in breast cancer segmentation on hematoxylin and eosin-stained
images lies in accurately capturing histologic phenotypes associated with cancer …

Pre-trained backbones effect on nuclei segmentation performance

C Maarouf, ML Benomar, N Settouti - Mediterranean Conference on …, 2021 - Springer
In histopathology, nuclei segmentation is the most important step that leads to an integral
diagnosis, the right nuclei localization can help the physician's decision about the type and …

CNN (Convolution Neural Network) Based Intelligent Streetlight Management Using Smart CCTV Camera and Semantic Segmentation

MSU Sourav, H Wang, MR Chowdhury… - Technology and Talent …, 2023 - emerald.com
One of the most neglected sources of energy loss is streetlights that generate too much light
in areas where it is not required. Energy waste has enormous economic and environmental …