Exploració per tema "breast cancer"
Ara es mostren els items 1-9 de 9
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Cell detection and classification of breast cancer histology images using a deep learning approach based on the U-Net architecture
(Universitat Politècnica de Catalunya, 2021-06-28)
Treball Final de Grau
Accés obertAquest projecte consisteix en la creació d'un algoritme capaç de detectar i classificar nuclis cel·lulars en imatges d'histologia de pacients de càncer de mama. Aquestes imatges, proporcionades per l'Institut Català de la ... -
Dynamic prognosis in metastatic breast cancer using copy number features
(Universitat Politècnica de Catalunya, 2024-01-24)
Projecte Final de Màster Oficial
Accés restringit per acord de confidencialitat
Realitzat a/amb: MRC Biostatistics UnitWe consider the problem of dynamic prediction of death in metastatic breast cancer through the use of liquid biopsies in the DETECT trial. Through shallow whole-genome sequencing of patients, we calculate tumour fraction ... -
Literary review of algorithms for segmentation and classification of Artificial Intelligence pathologies applied to breast cancer
(Universitat Politècnica de Catalunya, 2023-05-23)
Treball Final de Grau
Accés restringit per acord de confidencialitatAccording to data, breast cancer is a significant health issue and has a considerable economic impact. This clearly justifies the need for breast cancer screening. However, the current diagnostic process used in clinical ... -
Natural language processing and machine learning techniques to solve a breast cancer clinical trial ECOG-classification problem
(Universitat Politècnica de Catalunya, 2018-04-16)
Projecte Final de Màster Oficial
Accés obertNatural Language Processing and Machine Learning Framework to Predict Breast Cancer Participant's Profile in Clinical Trials based on ECOG/KPS Performance Status Scores using Structured Research Data from All over the world. -
Revealing associations between histological features and individual traits
(Universitat Politècnica de Catalunya, 2023-10-18)
Projecte Final de Màster Oficial
Accés obertBreast cancer stands as a prominent global health concern, consistently ranking among the most prevalent types of cancer affecting women. In this work, the focus is put on invasive ductal carcinoma and invasive lobular ... -
Segmentation of the breast region with pectoral muscle suppression and automatic breast density classification
(Universitat Politècnica de Catalunya, 2011-07-14)
Projecte/Treball Final de Carrera
Accés obert
Realitzat a/amb: Université Catholique de LouvainBreast cancer is one of the major causes of death among women. Nowadays screening mammography is the most adopted technique to perform an early breast cancer detection ahead other procedures like screen film mammography ... -
Statistical efficiency of survival endpoints in breast cancer clinical trials
(Universitat Politècnica de Catalunya, 2012-07)
Projecte Final de Màster Oficial
Accés obertPer demostrar l'eficàia d'una nova teràpia, en assajos clínics en càncer es recomana l'ús d'endpoints basats en la supervivència. D'entre ells, les principals agències reguladores (FDA i EMA) recomanen l'ús d' Overall ... -
U-Net vs HoVer-Net: A Comparative Study of Deep Learning Models for Cell Nuclei Segmentation and Classification in Breast Cancer Diagnosis
(Universitat Politècnica de Catalunya, 2023-07-05)
Projecte Final de Màster Oficial
Accés obertBreast cancer is a prevalent form of cancer and a leading cause of cancer-related deaths in women worldwide. Early detection and accurate diagnosis are crucial for effective treatment and improved patient outcomes. ... -
Unravelling the Metabolic Progression of Breast Cancer Cells to Bone Metastasis by Coupling Raman Spectroscopy and a Novel Use of Mcr-Als Algorithm
(ACS, 2018-03-28)
Accés obertRaman spectroscopy (RS) has shown promise as a tool to reveal biochemical changes that occur in cancer processes at the cellular level. However, when analyzing clinical samples, RS requires improvements to be able to resolve ...