Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis
Breast cancer is becoming a significant global health challenge, with millions of fatalities
annually. Magnetic Resonance Imaging (MRI) can provide various sequences for …
annually. Magnetic Resonance Imaging (MRI) can provide various sequences for …
Feature-enhanced multi-sequence MRI-based fusion mechanism for breast tumor segmentation
H Wang, T Zhu, S Ding, P Wang, B Chen - Biomedical Signal Processing …, 2024 - Elsevier
Multi-sequence MRI plays a crucial role in the effective segmentation of breast tumors,
contributing to accurate clinical diagnosis and treatment. However, the problem of missing …
contributing to accurate clinical diagnosis and treatment. However, the problem of missing …
[HTML][HTML] Edge of discovery: Enhancing breast tumor MRI analysis with boundary-driven deep learning
Manually segmenting breast lesion images poses a labor-intensive and expensive
undertaking for radiologists. Therefore, the adoption of an automated diagnostic approach …
undertaking for radiologists. Therefore, the adoption of an automated diagnostic approach …
Pixelwise Gradient Model with GAN for Virtual Contrast Enhancement in MRI Imaging
Simple Summary This paper presents a novel approach to produce virtual contrast
enhanced (VCE) images for nasopharyngeal cancer (NPC) without the use of contrast …
enhanced (VCE) images for nasopharyngeal cancer (NPC) without the use of contrast …
CNN-based explanation ensembling for dataset, representation and explanations evaluation
Explainable Artificial Intelligence has gained significant attention due to the widespread use
of complex deep learning models in high-stake domains such as medicine, finance, and …
of complex deep learning models in high-stake domains such as medicine, finance, and …
LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation
Recent research has shown the potential of deep learning in multi-parametric MRI-based
visual pathway (VP) segmentation. However, obtaining labeled data for training is laborious …
visual pathway (VP) segmentation. However, obtaining labeled data for training is laborious …
Pet/Ct Cross-Modal Automatic Segmentation-Based Prognostic Assessment of Diffuse Large B-Cell Lymphoma Patients
J Chen, Y Chen, Z Dai, F Lin, Y Fan, A Li… - Available at SSRN … - papers.ssrn.com
Background and objective To develop an effective cross-modal automatic tumor
segmentation method for diffuse large B-cell lymphoma (DLBCL) patients on PET/CT …
segmentation method for diffuse large B-cell lymphoma (DLBCL) patients on PET/CT …