Number of images in each dataset. حسب Qingyang Wang (460264)

"…Thus, in this study, we developed a model for intraoperative cytological segmentation of pulmonary lesions based on the YOLOv8 algorithm, which labels each instance by segmenting the image at the pixel level. …"

Research on Vehicle Detection Algorithms Based on Deep Learning in Complex Environments حسب Xiaodan Li (22309438)

Data Sheet 1_Instance segmentation models for detecting floating macroplastic debris from river surface images.pdf حسب Tomoya Kataoka (6758831)

"…Our models could detect FMPD using object detection and image segmentation approaches with accuracies similar to those of the pretrained YOLOv8 model. …"

Table 1_Late-onset first epileptic seizure and cerebral small vessel disease: role of juxtacortical white matter lesions.docx حسب Adrian Nasca (20601542)

"…</p>Significance<p>By using algorithm-based automated lesion segmentation software tools and VBM analysis we could highlight that a juxtacortical weighting of WML distribution and regionally decreased gray matter volume distinguished LOFES from TIA and PC groups in our sample.…"

Overview of our deep learning pipeline for analyzing cellular autophagy. حسب Oriana Presacan (22232246)

Traditional image analysis of the CELLULAR dataset. حسب Oriana Presacan (22232246)

<b>MUSe</b><b>g</b><b>:</b><b>A multimodal semantic segmentation dataset for complex underground mine scenes</b> حسب Shiyan Li (21016058)

"…The dataset has also been evaluated using classical multimodal semantic segmentation algorithms. MUSeg not only fills the gap in this field but also provides a critical foundation for research and application of multimodal perception algorithms in mining, contributing significantly to the advancement of intelligent mining.…"

Triangle-annotated bees using the <i>Labelme</i> tool for direction estimation (a–e). حسب Tomyslav Sledevič (20783469)

Examples of stack image data processing. حسب Yoshitaka Kimori (7455122)

OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers حسب Mustafa Arikan (8104316)

"…To address this gap, we present a comprehensive multi-grader and multi-disease dataset fortraining machine learning-based algorithms. The proposed dataset covers three subsets of scans (Age-related Macular Degeneration, Diabetic Macular Edema, and healthy) and annotations for two types of tasks (semantic segmentation and object detection). …"

Supplementary file 1_The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopenia.doc حسب Huayan Zuo (22308277)

"…Muscle and adipose tissues were automatically segmented from the ROI using GMM, K-means, and Otsu algorithms at the cohort level. …"

Confusion matrix for multiclass classification. حسب Ebru Ergün (21395498)

"…To optimize system accuracy and speed, EEG and NIRS data were segmented into discrete temporal windows. Features were extracted using the Hilbert Transform, while classification was performed via the k-nearest neighbor algorithm. …"

General flow chart of the proposed method. حسب Ebru Ergün (21395498)

"…To optimize system accuracy and speed, EEG and NIRS data were segmented into discrete temporal windows. Features were extracted using the Hilbert Transform, while classification was performed via the k-nearest neighbor algorithm. …"

Comparison of multi-model performance. حسب Lei Gao (6566)

"…</p><p>However, no predictive models for BSH have been developed using machine learning algorithms.</p><p>Objective</p><p>To evaluate the effectiveness of five machine learning algorithms in predicting thickening of the basal segment of the interventricular septum and to develop a simple, yet efficient, prediction model for BSH.…"

External cohort raw data. حسب Lei Gao (6566)

"…</p><p>However, no predictive models for BSH have been developed using machine learning algorithms.</p><p>Objective</p><p>To evaluate the effectiveness of five machine learning algorithms in predicting thickening of the basal segment of the interventricular septum and to develop a simple, yet efficient, prediction model for BSH.…"

Workflow of Decisionlinnc software. حسب Lei Gao (6566)

"…</p><p>However, no predictive models for BSH have been developed using machine learning algorithms.</p><p>Objective</p><p>To evaluate the effectiveness of five machine learning algorithms in predicting thickening of the basal segment of the interventricular septum and to develop a simple, yet efficient, prediction model for BSH.…"

Internal cohort raw data. حسب Lei Gao (6566)

"…</p><p>However, no predictive models for BSH have been developed using machine learning algorithms.</p><p>Objective</p><p>To evaluate the effectiveness of five machine learning algorithms in predicting thickening of the basal segment of the interventricular septum and to develop a simple, yet efficient, prediction model for BSH.…"

ROC analysis of model-related variable. حسب Lei Gao (6566)

"…</p><p>However, no predictive models for BSH have been developed using machine learning algorithms.</p><p>Objective</p><p>To evaluate the effectiveness of five machine learning algorithms in predicting thickening of the basal segment of the interventricular septum and to develop a simple, yet efficient, prediction model for BSH.…"

Flow chart of the search process. حسب Lei Gao (6566)

"…</p><p>However, no predictive models for BSH have been developed using machine learning algorithms.</p><p>Objective</p><p>To evaluate the effectiveness of five machine learning algorithms in predicting thickening of the basal segment of the interventricular septum and to develop a simple, yet efficient, prediction model for BSH.…"

Data Sheet 3_VanillaNet-YOLOv8 segment: detection of nano-iron oxide regulation on rice seedling growth vitality under salt stress.zip حسب Weihang Jiang (22261666)

"…In this regard, the VanillaNet-YOLOv8 Segment model has been proposed. The VanillaNet concise backbone network was utilised to reduce computational complexity. …"