GC3.AMP.7
ICIP 2022 CHALLENGE: PEDCMI, TOOD ENHANCED BY SLICING-AIDED FINE-TUNING AND INFERENCE
Alzbeta Tureckova, Tomas Turecek, Zuzana Kominkova Oplatkova, Tomas Bata University in Zlin, Czechia
Session:
Parasitic Egg Detection and Classification in Microscopic Images
Track:
Challenge Sessions
Location:
Amphitheatre
Presentation Time:
Tue, 18 Oct, 00:20 - 00:35 China Standard Time (UTC +8)
Mon, 17 Oct, 18:20 - 18:35 Central European Time (UTC +2)
Mon, 17 Oct, 16:20 - 16:35 UTC
Mon, 17 Oct, 12:20 - 12:35 Eastern Time (UTC -4)
Mon, 17 Oct, 18:20 - 18:35 Central European Time (UTC +2)
Mon, 17 Oct, 16:20 - 16:35 UTC
Mon, 17 Oct, 12:20 - 12:35 Eastern Time (UTC -4)
Session Chair:
Nantheera Anantrasirichai, University of Bristol, United Kingdom
Presentation
Discussion
Resources
No resources available.
Session GC3.AMP
GC3.AMP.1: A ROBUST ENSEMBLE MODEL FOR PARASITIC EGG DETECTION AND CLASSIFICATION
Yuqi Wang, Zhiqiang He, Huabin Du, Shenghui Huang, Zhejiang University of Science and Technology, China
GC3.AMP.2: Multitask learning via pseudo-label generation and ensemble prediction for parasitic egg cell detection: IEEE ICIP Challenge 2022
Zaw Htet Aung, Titipat Achakulvisut, Mahidol University, Thailand; Kittinan Srithaworn, Looloo Technology, Thailand
GC3.AMP.3: PARASITIC EGG DETECTION WITH A DEEP LEARNING ENSEMBLE
Jesus Ruiz-Santaquiteria, Anibal Pedraza, Noelia Vallez, Alberto Velasco, University of Castilla La Mancha, Spain
GC3.AMP.4: Parasitic Egg Detection and Classification with Transformer-based architectures
Anibal Pedraza, Jesus Ruiz-Santaquiteria, Oscar Deniz, Gloria Bueno, University of Castilla-La Mancha, ETSI Industrial, VISILAB, Ciudad Real, Spain, Spain
GC3.AMP.5: ICIP 2022 CHALLENGE ON PARASITIC EGG DETECTION AND CLASSIFICATION IN MICROSCOPIC IMAGES: DATASET, METHODS AND RESULTS
Nantheera Anantrasirichai, Xudong Ma, Alin Achim, University of Bristol, United Kingdom of Great Britain and Northern Ireland; Thanarat H. Chalidabhongse, Duangdao Palasuwan, Korranat Naruenatthanaset, Thananop Kobchaisawat, Nuntiporn Nunthanasup, Kanyarat Boonpeng, Chulalongkorn University, Thailand
GC3.AMP.6: LOCALIZATION AND CLASSIFICATION OF PARASITIC EGGS IN MICROSCPIC IMAGES USING AN EFFICIENTDET DETECTOR
Nouar AlDahoul, Hezerul Abdul Karim, Multimedia University, Malaysia; Shaira Limson Kee, Myles Joshua Toledo Tan, University of St. La Salle, Philippines
GC3.AMP.7: ICIP 2022 CHALLENGE: PEDCMI, TOOD ENHANCED BY SLICING-AIDED FINE-TUNING AND INFERENCE
Alzbeta Tureckova, Tomas Turecek, Zuzana Kominkova Oplatkova, Tomas Bata University in Zlin, Czechia
GC3.AMP.8: PARASITIC EGG DETECTION AND CLASSIFICATION BY UTILIZING THE YOLO ALGORITHM WITH DEEP LATENT SPACE IMAGE RESTORATION AND GRABCUT AUGMENTATION
Yohanssen Pratama, Yuki Fujimura, Takuya Funatomi, Yasuhiro Mukaigawa, Nara Institute of Science and Technology, Japan