Results 11 to 20 of about 14,094 (116)
Sensors, 2021 Recent advances in deep learning models for image interpretation finally made it possible to automate construction site monitoring processes that rely on remote sensing. However, the major drawback of these models is their dependency on large datasets of
Suzanna Cuypers +2 more
doaj +1 more source
Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning
Plant Phenomics, 2023 Deep learning and computer vision have become emerging tools for diseased plant phenotyping. Most previous studies focused on image-level disease classification.
Lei Zhou +4 more
doaj +1 more source
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
Weakly-supervised deep learning for ultrasound diagnosis of breast cancer
Scientific Reports, 2021 Conventional deep learning (DL) algorithm requires full supervision of annotating the region of interest (ROI) that is laborious and often biased. We aimed to develop a weakly-supervised DL algorithm that diagnosis breast cancer at ultrasound without ...
Jaeil Kim +9 more
doaj +1 more source
A review of intelligent diagnosis methods of imaging gland cancer based on machine learning
Virtual Reality & Intelligent Hardware, 2023 Background: Gland cancer is a high-incidence disease endangering human health, and its early detection and treatment need efficient, accurate and objective intelligent diagnosis methods.
Han Jiang +5 more
doaj +1 more source
Weakly Supervised Learning Approach for Implicit Aspect Extraction
Information, 2023 Aspect-based sentiment analysis (ABSA) is a process to extract an aspect of a product from a customer review and identify its polarity. Most previous studies of ABSA focused on explicit aspects, but implicit aspects have not yet been the subject of much ...
Aye Aye Mar +2 more
doaj +1 more source
Weakly Supervised Deep Learning for Tooth-Marked Tongue Recognition
Frontiers in Physiology, 2022 The recognition of tooth-marked tongues has important value for clinical diagnosis of traditional Chinese medicine. Tooth-marked tongue is often related to spleen deficiency, cold dampness, sputum, effusion, and blood stasis.
Jianguo Zhou +8 more
doaj +1 more source
Instance-Level Contrastive Learning for Weakly Supervised Object Detection
Sensors, 2022 Weakly supervised object detection (WSOD) has received increasing attention in object detection field, because it only requires image-level annotations to indicate the presence or absence of target objects, which greatly reduces the labeling costs ...
Ming Zhang, Bing Zeng
doaj +1 more source
Weakly supervised classification in high energy physics
Journal of High Energy Physics, 2017 As machine learning algorithms become increasingly sophisticated to exploit subtle features of the data, they often become more dependent on simulations.
Lucio Mwinmaarong Dery +3 more
doaj +1 more source
Remote Sensing, 2020 The lack of pixel-level labeling limits the practicality of deep learning-based building semantic segmentation. Weakly supervised semantic segmentation based on image-level labeling results in incomplete object regions and missing boundary information ...
Jie Chen +4 more
doaj +1 more source