Search Results for author: Camille Kurtz

Found 7 papers, 2 papers with code

Lymphoid Infiltration Assessment of the Tumor Margins in H&E Slides

no code implementations23 Jul 2024 Zhuxian Guo, Amine Marzouki, Jean-François Emile, Henning Müller, Camille Kurtz, Nicolas Loménie

Lymphoid infiltration at tumor margins is a key prognostic marker in solid tumors, playing a crucial role in guiding immunotherapy decisions.

Segmentation-guided Attention for Visual Question Answering from Remote Sensing Images

no code implementations11 Jul 2024 Lucrezia Tosato, Hichem Boussaid, Flora Weissgerber, Camille Kurtz, Laurent Wendling, Sylvain Lobry

Visual Question Answering for Remote Sensing (RSVQA) is a task that aims at answering natural language questions about the content of a remote sensing image.

Question Answering Segmentation +1

Optimizing Lymphocyte Detection in Breast Cancer Whole Slide Imaging through Data-Centric Strategies

no code implementations22 May 2024 Amine Marzouki, Zhuxian Guo, Qinghe Zeng, Camille Kurtz, Nicolas Loménie

Efficient and precise quantification of lymphocytes in histopathology slides is imperative for the characterization of the tumor microenvironment and immunotherapy response insights.

A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Image of Hepatocellular Carcinoma

no code implementations11 Jul 2023 Zhuxian Guo, Qitong Wang, Henning Müller, Themis Palpanas, Nicolas Loménie, Camille Kurtz

In digital histopathology, entire neoplasm segmentation on Whole Slide Image (WSI) of Hepatocellular Carcinoma (HCC) plays an important role, especially as a preprocessing filter to automatically exclude healthy tissue, in histological molecular correlations mining and other downstream histopathological tasks.

Segmentation

Fine-tune your Classifier: Finding Correlations With Temperature

no code implementations18 Oct 2022 Benjamin Chamand, Olivier Risser-Maroix, Camille Kurtz, Philippe Joly, Nicolas Loménie

Temperature is a widely used hyperparameter in various tasks involving neural networks, such as classification or metric learning, whose choice can have a direct impact on the model performance.

Hyperparameter Optimization Metric Learning

Learning an Adaptation Function to Assess Image Visual Similarities

1 code implementation3 Jun 2022 Olivier Risser-Maroix, Amine Marzouki, Hala Djeghim, Camille Kurtz, Nicolas Lomenie

As a consequence, such features are powerful to compare semantically related images but not really efficient to compare images visually similar but semantically unrelated.

Image Categorization Image Similarity Search +2

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