13 documents found, page 1 of 2
Barrett’s esophagus analysis using surf features
Souza, Luis [UNESP]; Hook, Christian; Papa, João P. [UNESP]; Palm, ChristophMade available in DSpace on 2022-04-30T00:06:41Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-01-01; The development of adenocarcinoma in Barrett’s esophagus is difficult to detect by endoscopic surveillance of patients with signs of dysplasia. Computer assisted diagnosis of endoscopic images (CAD) could therefore be most helpful in the demarcation and classification of neoplastic lesions. In this stud...
Semi-supervised Segmentation Based on Error-Correcting Supervision
Mendel, Robert; de Souza, Luis Antonio; Rauber, David; Papa, João Paulo [UNESP]; Palm, ChristophMade available in DSpace on 2022-05-01T00:16:35Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-01-01; Pixel-level classification is an essential part of computer vision. For learning from labeled data, many powerful deep learning models have been developed recently. In this work, we augment such supervised segmentation models by allowing them to learn from unlabeled data. Our semi-supervised approach, t...
Abstract: Semi-supervised Segmentation Based on Error-correcting Supervision
Mendel, Robert; de Souza Jr, Luis Antonio; Rauber, David; Papa, João Paulo [UNESP]; Palm, ChristophMade available in DSpace on 2022-05-01T03:42:51Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01; Ostbayerische Technische Hochschule Regensburg; Federal University of São Carlos; São Paulo State University; São Paulo State University
Convolutional Neural Networks for the evaluation of cancer in Barrett's esophag...
de Souza, Luis A.; Mendel, Robert; Strasser, Sophia; Ebigbo, Alanna; Probst, Andreas; Messmann, Helmut; Papa, João P. [UNESP]; Palm, ChristophMade available in DSpace on 2022-05-01T05:29:29Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-08-01; Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Even though artificial intelligence and machine learning have demonstrated remarkable performances in medical image computing, their level of accountability and transparen...
Assisting Barrett's esophagus identification using endoscopic data augmentation...
de Souza, Luis A.; Passos, Leandro A. [UNESP]; Mendel, Robert; Ebigbo, Alanna; Probst, Andreas; Messmann, Helmut; Palm, Christoph; Papa, João P. [UNESP]Made available in DSpace on 2021-06-25T11:05:20Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-11-01; Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Alexander von Humboldt-Stiftung; Barrett's esophagus figured a swift rise in the number of cases in the past years. Although traditional diagnosis methods offered a vital ...
Fine-tuning Generative Adversarial Networks using Metaheuristics: A Case Study ...
Souza, Luis A.; Passos, Leandro A. [UNESP]; Mendel, Robert; Ebigbo, Alanna; Probst, Andreas; Messmann, Helmut; Palm, Christoph; Papa, João Paulo [UNESP]Made available in DSpace on 2021-06-25T11:13:46Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01; Department of Computing São Carlos Federal University - UFSCar; Regensburg Medical Image Computing (ReMIC) Ostbayerische Technische Hochschule Regensburg (OTH Regensburg) – Germany; Department of Computing São Paulo State University - UNESP; Department of Gastroenterology University Hospital Augsburg – ...
Endoscopic prediction of submucosal invasion in Barrett's cancer with the use o...
Ebigbo, Alanna; Mendel, Robert; Rueckert, Tobias; Schuster, Laurin; Probst, Andreas; Manzeneder, Johannes; Prinz, Friederike; Mende, MatthiasMade available in DSpace on 2021-06-26T02:53:52Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-11-16; Bavarian Academic Forum (BayWISS); Background The accurate differentiation between T1a and T1b Barrett's-related cancer has both therapeutic and prognostic implications but is challenging even for experienced physicians. We trained an artificial intelligence (AI) system on the basis of deep artificial n...
Large expert-curated database for benchmarking document similarity detection in...
Brown, Peter; Tan, Aik-Choon; El-Esawi, Mohamed A.; Liehr, Thomas; Blanck, Oliver; Gladue, Douglas P.; Almeida, Gabriel M. F.; Cernava, TomislavMade available in DSpace on 2020-12-11T01:57:28Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-10-29; Griffith University Gowonda HPC Cluster; Queensland Cyber Infrastructure Foundation; Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents tha...
Learning visual representations with optimum-path forest and its applications t...
de Souza, Luis A.; Afonso, Luis C. S.; Ebigbo, Alanna; Probst, Andreas; Messmann, Helmut; Mendel, Robert; Hook, Christian; Palm, ChristophMade available in DSpace on 2019-10-06T16:59:47Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-01-01; Considering the increase in the number of the Barrett’s esophagus (BE) in the last decade, and its expected continuous increase, methods that can provide an early diagnosis of dysplasia in BE-diagnosed patients may provide a high probability of cancer remission. The limitations related to traditional me...
Barrett's esophagus analysis using infinity Restricted Boltzmann Machines
Passos, Leandro A.; de Souza, Luis A.; Mendel, Robert; Ebigbo, Alanna; Probst, Andreas; Messmann, Helmut; Palm, Christoph; Papa, João Paulo [UNESP]Made available in DSpace on 2019-10-06T17:02:09Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-02-01; Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Fundação para o Desenvolvimento da UNESP (FUNDUNESP); The number of patients with Barret's esophagus (BE) has increased in the last decades. Considering the dangerousness ...