A novel method integrating sample migration and threshold optimization for high-precision greenhouse classification: evidence from Southern China
Sign Up to like & getrecommendations! Published in 2025 at "Geocarto International"
DOI: 10.1080/10106049.2025.2527308
Abstract: Abstract Greenhouses are vital for food security and agricultural modernization, yet their classification in remote sensing imagery is challenging due to scattered distribution, small scale, and spectral similarities. This study proposes a remote sensing classification… read more here.
Keywords: classification; southern china; sample migration; threshold optimization ... See more keywords
Threshold optimization for lesion size in lutetium-177 single-photon emission computed tomography imaging: a phantom-based evaluation.
Sign Up to like & getrecommendations! Published in 2025 at "Nuclear medicine communications"
DOI: 10.1097/mnm.0000000000002084
Abstract: BACKGROUND Accurate lesion volume estimation is essential for reliable voxel-based dosimetry in Lu-177 radionuclide therapy. Conventional fixed-threshold segmentation-particularly the commonly used 40% threshold-can markedly underestimate small lesions due to partial volume effects, leading to substantial… read more here.
Keywords: threshold optimization; size; lesion; fixed threshold ... See more keywords
Dual threshold optimization and network inference reveal convergent evidence from TF binding locations and TF perturbation responses.
Sign Up to like & getrecommendations! Published in 2020 at "Genome research"
DOI: 10.1101/gr.259655.119
Abstract: A high-confidence map of the direct, functional targets of each transcription factor (TF) requires convergent evidence from independent sources. Two significant sources of evidence are TF binding locations and the transcriptional responses to direct TF… read more here.
Keywords: threshold optimization; network; binding locations; evidence ... See more keywords
Automatic image annotation method based on a convolutional neural network with threshold optimization
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DOI: 10.1371/journal.pone.0238956
Abstract: In this study, a convolutional neural network with threshold optimization (CNN-THOP) is proposed to solve the issue of overlabeling or downlabeling arising during the multilabel image annotation process in the use of a ranking function… read more here.
Keywords: annotation; threshold optimization; image annotation; cnn ... See more keywords