Results 41 to 50 of about 339,193 (164)

Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis [PDF]

open access: yesarXiv, 2023
This paper shows the machine learning system which performs instance segmentation of cytological images in veterinary medicine. Eleven cell types were used directly and indirectly in the experiments, including damaged and unrecognized categories. The deep learning models employed in the system achieve a high score of average precision and recall ...
arxiv  

Mathematical modelling of cancer invasion: Phenotypic transitioning provides insight into multifocal foci formation [PDF]

open access: yesarXiv, 2023
The transition from the epithelial to mesenchymal phenotype and its reverse (from mesenchymal to epithelial) are crucial processes necessary for the progression and spread of cancer. In this paper, we investigate how phenotypic switching at the cancer cell level impacts on behaviour at the tissue level, specifically on the emergence of isolated foci of
arxiv  

Lung adenocarcinoma originates from retrovirus infection of proliferating type 2 pneumocytes during pulmonary post-natal development or tissue repair [PDF]

open access: yes, 2011
Jaagsiekte sheep retrovirus (JSRV) is a unique oncogenic virus with distinctive biological properties. JSRV is the only virus causing a naturally occurring lung cancer (ovine pulmonary adenocarcinoma, OPA) and possessing a major structural protein that ...
A Giangreco   +93 more
core   +5 more sources

A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images [PDF]

open access: yesarXiv, 2021
Gastric diffuse-type adenocarcinoma represents a disproportionately high percentage of cases of gastric cancers occurring in the young, and its relative incidence seems to be on the rise. Usually it affects the body of the stomach, and presents shorter duration and worse prognosis compared with the differentiated (intestinal) type adenocarcinoma.
arxiv  

Emergent Behaviors from A Cellular Automaton Model for Invasive Tumor Growth in Heterogeneous Microenvironments [PDF]

open access: yesPLoS Comput Biol 7, e1002314 (2011), 2011
Understanding tumor invasion and metastasis is of crucial importance for both fundamental cancer research and clinical practice. In vitro experiments have established that the invasive growth of malignant tumors is characterized by the dendritic invasive branches composed of chains of tumor cells emanating from the primary tumor mass. The preponderance
arxiv   +1 more source

Analysis of the clinical relevance of histological classification of benign epithelial salivary gland tumours [PDF]

open access: yes, 2019
IntroductionA vast increase in knowledge of numerous aspects of malignant salivary gland tumours has emerged during the last decade and, forseveral reasons, thishas not been the case in benign epithelial salivary gland tumours.
Andreasen, Simon   +10 more
core   +4 more sources

A Multi-Scale Conditional Deep Model for Tumor Cell Ratio Counting [PDF]

open access: yesarXiv, 2021
We propose a method to accurately obtain the ratio of tumor cells over an entire histological slide. We use deep fully convolutional neural network models trained to detect and classify cells on images of H&E-stained tissue sections. Pathologists' labels consisting of exhaustive nuclei locations and tumor regions were used to trained the model in a ...
arxiv  

Transformation of benign phyllodes to malignant phyllodes tumor

open access: yesMedicina, 2015
Importance of the problem: Malignant phyllodes tumors are rare fibroepithelial neoplasm in which clinical findings remain insufficient to determine a proper preoperative diagnoses and therefore has an unpredictable clinical outcome for optimal treatment.
Adrienne Pratti Lucarelli   +3 more
doaj   +1 more source

Spatial model predicts dispersal and cell turnover cause reduced intra-tumor heterogeneity [PDF]

open access: yes, 2015
Most cancers in humans are large, measuring centimeters in diameter, composed of many billions of cells. An equivalent mass of normal cells would be highly heterogeneous as a result of the mutations that occur during each cell division. What is remarkable about cancers is their homogeneity - virtually every neoplastic cell within a large cancer ...
arxiv   +1 more source

Kasabach-Merritt syndrome arising from an Enteroatmospheric Fistula [PDF]

open access: yesarXiv, 2022
Kasabach-Merritt syndrome (KMS) is a rare, life-threatening condition that is characterized by profound thrombocytopenia, hypofibrinogenemia, elevated partial thromboplastin time, and may also be associated with microangiopathic hemolytic anemia. It is well established that this phenomenon is notably associated with the vascular tumors kaposiform ...
arxiv  

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