Deep superpixel generation and clustering for weakly supervised segmentation of brain tumors in MR images. [PDF]
Yoo JJ, Namdar K, Khalvati F.
europepmc +1 more source
Explainable AI and mobile imaging for non-destructive avocado ripeness and internal quality assessment to reduce food waste. [PDF]
Lee IH, Li Z, Ma L.
europepmc +1 more source
Multiscale superpixel depth feature extraction for hyperspectral image classification. [PDF]
Yan Q, Zhang S, Chen X, Zheng Z.
europepmc +1 more source
CNN-TumorNet: leveraging explainability in deep learning for precise brain tumor diagnosis on MRI images. [PDF]
Rasool N +7 more
europepmc +1 more source
Boundary-preserving superpixel segmentation
In recent years, superpixel segmentation has been widely used in image processing tasks as a preprocessing step. Superpixel segmentation aims to group pixels into homogeneous regions while maintaining edges. This paper proposes a superpixel segmentation algorithm based on boundary preservation.
Yuejia Lin +3 more
openaire +1 more source
A SPATIALLY VARYING HIERARCHICAL RANDOM EFFECTS MODEL FOR LONGITUDINAL MACULAR STRUCTURAL DATA IN GLAUCOMA PATIENTS. [PDF]
Su BE +3 more
europepmc +1 more source
Monitoring Over Time of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients Through an Ensemble Vision Transformers-Based Model. [PDF]
Comes MC +10 more
europepmc +1 more source
Study on canopy extraction method for narrowband spectral images based on superpixel color gradation skewness distribution features. [PDF]
Yu H +5 more
europepmc +1 more source
Three-Dimensional Landing Zone Segmentation in Urbanized Aerial Images from Depth Information Using a Deep Neural Network-Superpixel Approach. [PDF]
Morales-Navarro NA +7 more
europepmc +1 more source
Enhanced hierarchical attention mechanism for mixed MIL in automatic Gleason grading and scoring. [PDF]
Ren M, Huang M, Zhang Y, Zhang Z, Ren M.
europepmc +1 more source

