Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs [PDF]
arXiv, 2021 Segmenting histology images into diagnostically relevant regions is imperative to support timely and reliable decisions by pathologists. To this end, computer-aided techniques have been proposed to delineate relevant regions in scanned histology slides.
arxiv
PARTICULARITIES OF THE MANAGEMENT OF THE HISTOLOGY LABORATORY [PDF]
Annals of the University of Craiova: Economic Sciences Series, 2019 The managerial process in the health field is an extremely complex one, because it presents besides the basic components of an organizational system and the human component: the patient.
Oprea-Valentin BUSU +1 more
doaj
Slide-free MUSE Microscopy to H&E Histology Modality Conversion via Unpaired Image-to-Image Translation GAN Models [PDF]
arXiv, 2020 MUSE is a novel slide-free imaging technique for histological examination of tissues that can serve as an alternative to traditional histology. In order to bridge the gap between MUSE and traditional histology, we aim to convert MUSE images to resemble authentic hematoxylin- and eosin-stained (H&E) images.
arxiv
FHIST: A Benchmark for Few-shot Classification of Histological Images [PDF]
arXiv, 2022 Few-shot learning has recently attracted wide interest in image classification, but almost all the current public benchmarks are focused on natural images. The few-shot paradigm is highly relevant in medical-imaging applications due to the scarcity of labeled data, as annotations are expensive and require specialized expertise.
arxiv
Malignant fibrous histiocytoma of the right upper leg: A case report [PDF]
Vojnosanitetski Pregled, 2018 Introduction. Malignant fibrous histiocytoma is a fast spreading pleomorphic sarcoma with a high malignant potential. Its spreading is characterized with local invasion and distant metastazes with early onset. Most common localisations of development are
Pavlović Mladen +12 more
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StyPath: Style-Transfer Data Augmentation For Robust Histology Image Classification [PDF]
arXiv, 2020 The classification of Antibody Mediated Rejection (AMR) in kidney transplant remains challenging even for experienced nephropathologists; this is partly because histological tissue stain analysis is often characterized by low inter-observer agreement and poor reproducibility.
arxiv
DEPAS: De-novo Pathology Semantic Masks using a Generative Model [PDF]
arXiv, 2023 The integration of artificial intelligence into digital pathology has the potential to automate and improve various tasks, such as image analysis and diagnostic decision-making. Yet, the inherent variability of tissues, together with the need for image labeling, lead to biased datasets that limit the generalizability of algorithms trained on them.
arxiv
Multi stain graph fusion for multimodal integration in pathology [PDF]
arXiv, 2022 In pathology, tissue samples are assessed using multiple staining techniques to enhance contrast in unique histologic features. In this paper, we introduce a multimodal CNN-GNN based graph fusion approach that leverages complementary information from multiple non-registered histopathology images to predict pathologic scores.
arxiv
Hodgkin transformation of chronic lymphocytic leukemia/small lymphocytic lymphoma [PDF]
Vojnosanitetski PregledIntroduction. In rare cases, chronic lymphocytic leukemia (CLL)/small lymphocytic lymphoma may transform into Hodgkin lymphoma, with about a hundred cases reported in the literature so far.
Vučić Miodrag +3 more
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Gastrointestinal stromal tumors: Microscopic and immunihistochemical features [PDF]
Vojnosanitetski Pregled, 2007 Background/Aim. Gastrointestinal (GI) stromal tumors (GIST) are the most common mesenchymal tumors of GI tract. The most frequent localization is gastric (60-70%) followed by intestinal localization (20-30%).
Rančić Gorana +3 more
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