TA-P.PZ1.1

A SELF-CONTRASTIVE LEARNING FRAMEWORK FOR SKIN CANCER DETECTION USING HISTOLOGICAL IMAGES

Rocío del Amor, Adrián Colomer, Sandra Morales, Cristian Pulgarín-Ospina, Valery Naranjo, Universitat Politècnica de València, Spain; Liria Terradez, Hospital Clínico Universitario de Valencia, Spain; Jose Aneiros-Fernandez, Hospital San Cecilio de Granada, Spain
Session:
Machine Learning for Biomedical Processing
Poster
Track:
Applications of Machine Learning
Location:
Poster Zone 1
Presentation Time:
Tue, 18 Oct, 16:00 - 18:30 China Standard Time (UTC +8)
Tue, 18 Oct, 10:00 - 12:30 Central European Time (UTC +2)
Tue, 18 Oct, 08:00 - 10:30 UTC
Tue, 18 Oct, 04:00 - 06:30 Eastern Time (UTC -4)
Session Co-Chairs:
Andrea Cavallaro, Queen Mary University of London and Jean-Christophe Pesquet, CentraleSupélec and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session TA-P.PZ1
TA-P.PZ1.1: A SELF-CONTRASTIVE LEARNING FRAMEWORK FOR SKIN CANCER DETECTION USING HISTOLOGICAL IMAGES
Rocío del Amor, Adrián Colomer, Sandra Morales, Cristian Pulgarín-Ospina, Valery Naranjo, Universitat Politècnica de València, Spain; Liria Terradez, Hospital Clínico Universitario de Valencia, Spain; Jose Aneiros-Fernandez, Hospital San Cecilio de Granada, Spain
TA-P.PZ1.2: A SELF-TRAINING WEAKLY-SUPERVISED FRAMEWORK FOR PATHOLOGIST-LIKE HISTOPATHOLOGICAL IMAGE ANALYSIS
Laëtitia Launet, Adrián Colomer, Valery Naranjo, Instituto de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Spain; Andrés Mosquera-Zamudio, Anaïs Moscardó, Carlos Monteagudo, Hospital Clínico Universitario de Valencia, Universidad de Valencia, Spain
TA-P.PZ1.3: THE LIFECYCLE OF A NEURAL NETWORK IN THE WILD: A MULTIPLE INSTANCE LEARNING STUDY ON CANCER DETECTION FROM BREAST BIOPSIES IMAGED WITH NOVEL TECHNIQUE
Diana Mandache, Emilie Benoit à la Guillaume, LLTech SAS, France; Yasmina Badachi, Pitié-Salpêtrière University Hospital APHP, France; Jean-Christophe Olivo-Marin, Vannary Meas-Yedid, Institut Pasteur, France
TA-P.PZ1.4: CU-NET: TOWARDS CONTINUOUS MULTI-CLASS CONTOUR DETECTION FOR RETINAL LAYER SEGMENTATION IN OCT IMAGES
Ashuta Bhattarai, Chandra Kambhamettu, University of Delaware, United States of America; Jing Jin, Nemours Children's Hospital Delaware, United States of America
TA-P.PZ1.5: Mapping functional changes in the embryonic heart of Atlantic salmon post viral infection using AI technique
S. Chattopadhyay, Jadavpur University, India; A. Malachowski, J. K. Swain, R. A. Dalmo, A. Horsch, D. K. Prasad, UiT The Arctic University of Norway, Norway
TA-P.PZ1.6: SEVERITY CLASSIFICATION IN CASES OF COLLAGEN VI-RELATED MYOPATHY WITH CONVOLUTIONAL NEURAL NETWORKS AND HANDCRAFTED TEXTURE FEATURES
Rafael Rodrigues, Antonio Pinheiro, Instituto de Telecomunicações & Universidade da Beira Interior, Portugal; Susana Quijano-Roy, Robert-Yves Carlier, APHP - Raymond Poincaré University Hospital, France