Results 61 to 70 of about 31,762 (259)
Lesion region segmentation via weakly supervised learning
Quantitative Biology, 2022 Background Image‐based automatic diagnosis of field diseases can help increase crop yields and is of great importance. However, crop lesion regions tend to be scattered and of varying sizes, this along with substantial intra‐class variation and small ...
Ran Yi +5 more
doaj +1 more source
Molecular Oncology, EarlyView.Dimethyl fumarate (DMF) reduces growth of HPV‐positive cervical cancer spheroids and induces ferroptosis in cervical cancer cells via blocking SLC7A11/Glutathione (GSH) axis. Combination of subcytotoxic doses of DMF and cisplatin (CDDP) further suppresses spheroid growth and drives cell death in 2D culture models.
Carolina Punziano +6 more
wiley +1 more source
Constrained Labeling for Weakly Supervised Learning
CoRR, 2020 Accepted at UAI ...
Chidubem Arachie, Bert Huang
openaire +3 more sources
Weakly Supervised Deep Detection Networks [PDF]
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 Weakly supervised learning of object detection is an important problem in image understanding that still does not have a satisfactory solution. In this paper, we address this problem by exploiting the power of deep convolutional neural networks pre-trained on large-scale image-level classification tasks.
Hakan Bilen, Andrea Vedaldi
openaire +3 more sources
A weakly supervised learning pipeline for profiled fibre inspection
IET Image ProcessingAutomatic profiled fibre recognition and analysis can accelerate quality inspection and contributes to the upgrade of the textile industry. However, these tasks often require significant manual effort to generate instance‐level annotations for fully ...
Zhao Chen +6 more
doaj +1 more source
Learning Consistency From High-Confidence Pseudo-Labels for Weakly Supervised Object Localization
IEEE Access, 2023 Weakly supervised object localization (WSOL) tasks aim to classify and locate a single object under the supervision of only image-level labels. Pseudo-supervised learning methods have been shown to be effective for WSOL.
Kangbo Sun, Jie Zhu
doaj +1 more source
Molecular Oncology, EarlyView.Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla +9 more
wiley +1 more source
Weakly Supervised Recognition of Surgical Gestures [PDF]
2019 International Conference on Robotics and Automation (ICRA), 2019 Kinematic trajectories recorded from surgical robots contain information about surgical gestures and potentially encode cues about surgeon's skill levels. Automatic segmentation of these trajectories into meaningful action units could help to develop new metrics for surgical skill assessment as well as to simplify surgical automation.
Van Amsterdam B. +3 more
openaire +3 more sources
EURASIP Journal on Image and Video Processing, 2022 This study proposes a novel network model for video action tube detection. This model is based on a location-interactive weakly supervised spatial–temporal attention mechanism driven by multiple loss functions.
Jinlei Zhu +3 more
doaj +1 more source
Cattle Weight Estimation Using Fully and Weakly Supervised Segmentation from 2D Images
Applied Sciences, 2023 Weight information is important in cattle breeding because it can measure animal growth and be used to calculate the appropriate amount of daily feed. To estimate the weight, we developed an image-based method that does not stress cattle and requires no ...
Chang-bok Lee +2 more
doaj +1 more source