Brightness-Enhanced Gastrointestinal Endoscopy Image Classification Using CNN-Based Diagnostic Model
Abstract: This study proposes a framework based on a Cycle-Consistent Generative Adversarial Network (CycleGAN) to improve the image brightness and visual continuity of gastrointestinal (GI) ...
Abstract: Accurate classification of otoscopic ear images is crucial for early diagnosis of ear pathologies such as Chronic Otitis Media, Earwax Plug, and Myringosclerosis. In this study, we propose a ...
Abstract: Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...
Abstract: In hyperspectral image (HSI) classification, Transformer and CNN are widely used because they complement each other in extracting features. Nevertheless, existing Transformer-based methods ...
Hyperspectral image (HSI) classification aims at categorizing each pixel in an HSI, facilitating precise identification and differentiation of various land cover types. In recent years, graph neural ...
Abstract: Breast cancer classification through mammogram images plays a vital role in supporting early detection and diagnosis. However, the nature complexity of mammographic data such as class ...
The image may have been fake, but with each passing day Canada is coming to terms with the fact that the threat could be real. Canadians woke up Tuesday to an all-too-familiar troll ripping through ...
Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
Gov. Moore on Trump excluding him from bipartisan dinner: 'Not lost on me that I am the only black governor in this country' ...
CNN’s Jake Tapper reports. Why 7 GOP senators voted against bill to keep government open past Friday Weight-loss drugs draw thousands of lawsuits alleging serious harm Rob Schneider's wife files for ...
Abstract: Hyperspectral image (HSI) classification demands models that can jointly capture long-range spatial relations and high-dimensional spectral structures while remaining scalable to large ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results