ICOS Protein Expression Segmentation: Can Transformer Networks Give Better Results?

2022-06-23 · Vivek Kumar Singh, Paul O Reilly, Jacqueline James, Manuel Salto Tellez, Perry Maxwell

Biomarkers identify a patients response to treatment. With the recent advances in artificial intelligence based on the Transformer networks, there is only limited research has been done to measure the performance on challenging histopathology images. In this paper, we investigate the efficacy of the numerous state-of-the-art Transformer networks for immune-checkpoint biomarker, Inducible Tcell COStimulator (ICOS) protein cell segmentation in colon cancer from immunohistochemistry (IHC) slides. Extensive and comprehensive experimental results confirm that MiSSFormer achieved the highest Dice score of 74.85% than the rest evaluated Transformer and Efficient U-Net methods.

📄 PDF Abstract BibTeX arXiv:2206.11520

Code (1)

920232796/setr-pytorch 공식 구현 pytorch

Tasks

Cell Segmentation

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Attention 설명 없음

Linear Layer A Linear Layer is a projection $\mathbf{XW + b}$.

Softmax The Softmax output function transforms a previous layer's output into a vector of probabilities. It is commonly used for multiclass classification. Given an input vector $x$…

Absolute Position Encodings Absolute Position Encodings are a type of position embeddings for [Transformer-based models] where positional encodings are…

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Adam 설명 없음

Deep Learning based Segmentation of Optical Coherence Tomographic Images of Human Saphenous Varicose Vein

2023-03-02 · Maryam Viqar, Violeta Madjarova, Amit Kumar Yadav, Desislava Pashkuleva 외

Deep-learning based segmentation model is proposed for Optical Coherence Tomography images of human varicose vein based on the U-Net model employing atrous convolution with residual blocks, which gives an accuracy of 0.9…

Deep Learning Segmentation

Icospherical Chemical Objects (ICOs) allow for chemical data augmentation and maintain rotational, translation and permutation invariance

2023-04-15 · Ella Gale

Dataset augmentation is a common way to deal with small datasets; Chemistry datasets are often small. Spherical convolutional neural networks (SphNNs) and Icosahedral neural networks (IcoNNs) are a type of geometric mach…

Data Augmentation

Image Segmentation Referring Expression Referring Expression Segmentation Segmentation+4

ICOS Protein Expression Segmentation: Can Transformer Networks Give Better Results?

Code (1)

Tasks

Methods 이 논문이 사용한 방법론

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