Download the dataset here, and unzip the dataset to polyps/data. We use a similar dataset as PraNet, with improved pre-processing and filtering of duplicates. See polyps/process_data.ipynb for details ...
Abstract: Multi-class classification is essential in various machine learning applications, but it often suffers from overfitting when using cross-entropy (CE) loss with the softmax function. A key ...
MELLE is a novel continuous-valued tokens based language modeling approach for text to speech synthesis (TTS). MELLE autoregressively generates continuous mel-spectrogram frames directly from text ...
Background: Photoacoustic spectral analysis has been demonstrated to be efficacious in the diagnosis of prostate cancer (PCa). With the incorporation of deep learning, its discrimination accuracy is ...
ABSTRACT: Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...
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ABSTRACT: With the continuous development of artificial intelligence and natural language processing technologies, traditional retrieval-augmented generation (RAG) techniques face numerous challenges ...
Accurate building segmentation has become critical in various fields such as urban management, urban planning, mapping, and navigation. With the increasing diversity in the number, size, and shape of ...