Accuracy of multiple classifiers with a deep-learning-based feature set by Afira Aslam (21433666)

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The whole leaf image segmented using SAM. by Afira Aslam (21433666)

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Cotton production in major countries. by Afira Aslam (21433666)

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Segment Anything Model (SAM) framework for segmentation of cotton crop leaves. by Afira Aslam (21433666)

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A demonstration of SAMCell’s interface throughout the various stages of use: (a) landing page for image upload, (b) image selection and processing status, (c) visualization of segm... by Alexandra Dunnum VandeLoo (22209218)

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Example images from the (a) Cytoplasm dataset and (b) LIVECell dataset used for training and example images from each of our evaluation datasets, (c) PBL-HEK and (d) PBL-N2a. by Alexandra Dunnum VandeLoo (22209218)

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Detailed Diagram of the SAMCell Pipeline, with stages (a) Ground truth distance map creation for training/fine-tuning (b) Fine-tuning of the Segment Anything Model, where we choose... by Alexandra Dunnum VandeLoo (22209218)

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(a) A cropped microscope image from the LIVECell test set, (b) overlayed ground-truth cell masks, and (c) a distance map computed from these cell masks. by Alexandra Dunnum VandeLoo (22209218)

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A performance comparison between SAMCell and 3 existing cell segmentation baselines. by Alexandra Dunnum VandeLoo (22209218)

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A zero-shot, cross-dataset performance comparison between SAMCell-Generalist (fine-tuned on Cellpose Cytoplasm and LIVECell datasets), SAMCell-Cyto (fine-tuned on Cellpose Cytoplas... by Alexandra Dunnum VandeLoo (22209218)

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Digital Microfluidic Platform Based on Printed Circuit Board for Affinity Evaluation of Mertansine Aptamers by Dongliu Xiang (10688647)

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Structure of the Segment Anything Model (SAM) from the original paper [5]. by Alexandra Dunnum VandeLoo (22209218)

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Qualitative comparison of zero-shot, cross-dataset performance. by Alexandra Dunnum VandeLoo (22209218)

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History of Process Transformation by de Wit Coetsee (21380672)

“…The chart shows a shift from human-driven to automated processes, with decreasing human intervention, transitioning from physical filing to big data, and advancing search capabilities. …”

Emergence of New Nitrogen-Rich Compounds in Lead–Nitrogen Phase Diagram Under Pressure by Sylvain Pitié (12010033)

“…This finding is related to a decrease in the charge transfer from Pb to N₂ dimers. …”

The distribution of age-related resting-state functional connectivity (RSFC) based on Euclidean distance. by Lanxin Ji (20290942)

An illustration of how GBT works. by Hoang Thanh Nhon (22311837)

“…For example, the deep neural network model shows a decrease in RMSE from 0.926 to 0.375, MAE from 0.337 to 0.196, and MAPE from 134.63 to 114.71. …”

The average performance of the test set. by Hoang Thanh Nhon (22311837)

“…For example, the deep neural network model shows a decrease in RMSE from 0.926 to 0.375, MAE from 0.337 to 0.196, and MAPE from 134.63 to 114.71. …”

The variables used and equations. by Hoang Thanh Nhon (22311837)

“…For example, the deep neural network model shows a decrease in RMSE from 0.926 to 0.375, MAE from 0.337 to 0.196, and MAPE from 134.63 to 114.71. …”

An illustration of how RF works. by Hoang Thanh Nhon (22311837)

“…For example, the deep neural network model shows a decrease in RMSE from 0.926 to 0.375, MAE from 0.337 to 0.196, and MAPE from 134.63 to 114.71. …”