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Transformer encoder architecture explained simply

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...
GitHub

GCP-VQVAE: A Geometry-Complete Language for Protein 3D Structure

Converting protein tertiary structure into discrete tokens via vector-quantized variational autoencoders (VQ-VAEs) creates a language of 3D geometry and provides a natural interface between sequence ...
IEEE

Medical Report Generation With Knowledge Distillation and Multi-Stage Hierarchical Attention in Vision Transformer Encoder and GPT-2 Decoder

Abstract: Automated medical report generation is a challenging task that involves synthesizing diagnostic findings and clinical observations from medical images. In this study, we propose a novel ...
Scientific Research Publishing

Chen, J., Lu, Y., Yu, Q., et al. (2021) Transunet: Transformers Make Strong Encoders for Medical Image Segmentation.

ABSTRACT: To address the challenges of morphological irregularity and boundary ambiguity in colorectal polyp image segmentation, we propose a Dual-Decoder Pyramid Vision Transformer Network (DDPVT-Net ...
ascopubs.org

Next-generation U-Net Encoder: Decoder for accurate, automated CTC detection from images of peripheral blood nucleated cells stained with EPCAM and DAPI.

Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...
Scientific Research Publishing

Lewis, M., Liu, Y., Nogueira, K., Goyal, A., Ghazvinian, M., Kaiser, L., Zettle-moyer, L., et al. (2020) BART: A Bidirectional Encoder-Based Transformer for Natural Language ...

ABSTRACT: The deluge of digital information in Liberia necessitates efficient content consumption. LbrBart, a proposed text summarization tool, is specifically designed to cater to the needs of ...