Deep learning based approach for digitized herbarium specimen segmentation - researchr publication related

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Abdelaziz Triki, Bassem Bouaziz, Walid Mahdi, Hamdi Hamed, Jitendra Gaikwad. Deep learning based approach for digitized herbarium specimen segmentation. Multimedia Tools Appl., 81(20):28689-28707, 2022. [doi]

The following publications are possibly variants of this publication:

PhenoDeep: A Deep Learning-Based Approach for Detecting Reproductive Organs from Digitized Herbarium Specimen ImagesAbdelaziz Triki, Bassem Bouaziz, Jitendra Gaikwad, Walid Mahdi. iconip 2021: 402-413 [doi]

A deep learning-based approach for detecting plant organs from digitized herbarium specimen imagesAbdelaziz Triki, Bassem Bouaziz, Walid Mahdi. ecoi, 69:101590, 2022. [doi]

A deep learning-based approach for segmenting and counting reproductive organs from digitized herbarium specimen images using refined Mask Scoring R-CNNAbdelaziz Triki, Bassem Bouaziz, Jitendra Gaikwad, Walid Mahdi. tacc 2022: 138-148 [doi]

Deep leaf: Mask R-CNN based leaf detection and segmentation from digitized herbarium specimen imagesAbdelaziz Triki, Bassem Bouaziz, Jitendra Gaikwad, Walid Mahdi. prl, 150:76-83, 2021. [doi]

Objects Detection from Digitized Herbarium Specimen based on Improved YOLO V3Abdelaziz Triki, Bassem Bouaziz, Walid Mahdi, Jitendra Gaikwad. visapp 2020: 523-529 [doi]

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