RTFusion: A Multimodal Fusion Network with Significant Information Enhancement [0.03%]
RTFusion：一种具有重要信息增强的多模态融合网络
Chao Fan,Zhixiang Chen,Xiao Wang et al.
Chao Fan et al.
Multimodal medical fusion images are important for clinical diagnosis because they can better reflect the location of disease and provide anatomically detailed information. Existing medical image fusion methods can cause significant informa...
Francisco F Cunha,Valentin Blüml,Lydia M Zopf et al.
Francisco F Cunha et al.
The growing use of multimodal high-resolution volumetric data in pre-clinical studies leads to challenges related to the management and handling of the large amount of these datasets. Contrarily to the clinical context, currently there are ...
Artificial Intelligence-driven Digital Cytology-based Cervical Cancer Screening: Is the Time Ripe to Adopt This Disruptive Technology in Resource-constrained Settings? A Literature Review [0.03%]
基于数字细胞学的人工智能宫颈癌筛查：资源匮乏地区是否已准备好采用这一颠覆性技术？文献综述
Ruchika Gupta,Neeta Kumar,Shivani Bansal et al.
Ruchika Gupta et al.
Cervical cancer is still a public health scourge in the developing countries due to the lack of organized screening programs. Though liquid-based cytology methods improved the performance of cervical cytology, the interpretation still suffe...
Norsang Lama,Jason Hagerty,Anand Nambisan et al.
Norsang Lama et al.
We propose a deep learning approach to segment the skin lesion in dermoscopic images. The proposed network architecture uses a pretrained EfficientNet model in the encoder and squeeze-and-excitation residual structures in the decoder. We ap...
Surender Singh Samant,Arun Chauhan,Jagadish Dn et al.
Surender Singh Samant et al.
Digital pathology is vital for the correct diagnosis of kidney before transplantation or kidney disease identification. One of the key challenges in kidney diagnosis is glomerulus detection in kidney tissue segments. In this study, we propo...
A Structure-Aware Convolutional Neural Network for Automatic Diagnosis of Fungal Keratitis with In Vivo Confocal Microscopy Images [0.03%]
基于结构意识的卷积神经网络在共聚焦显微镜图像上的真菌性角膜炎自动诊断方法
Shanshan Liang,Jing Zhong,Hongwei Zeng et al.
Shanshan Liang et al.
Fungal keratitis (FK) is a common and severe corneal disease, which is widely spread in tropical and subtropical areas. Early diagnosis and treatment are vital for patients, with confocal microscopy cornea imaging being one of the most effe...
Influence of Data Augmentation Strategies on the Segmentation of Oral Histological Images Using Fully Convolutional Neural Networks [0.03%]
基于全卷积神经网络的口腔组织图像分割的数据增强策略的影响研究
Dalí F D Dos Santos,Paulo R de Faria,Bruno A N Travençolo et al.
Dalí F D Dos Santos et al.
Segmentation of tumor regions in H &E-stained slides is an important task for a pathologist while diagnosing different types of cancer, including oral squamous cell carcinoma (OSCC). Histological image segmentation is often constrained by t...
Enhancing Multi-disease Diagnosis of Chest X-rays with Advanced Deep-learning Networks in Real-world Data [0.03%]
基于真实世界数据的先进深度学习网络在胸部X光多病种诊断中的应用
Yuyang Chen,Yiliang Wan,Feng Pan
Yuyang Chen
The current artificial intelligence (AI) models are still insufficient in multi-disease diagnosis for real-world data, which always present a long-tail distribution. To tackle this issue, a long-tail public dataset, "ChestX-ray14," which in...
Employing Multiple Low-Dose PET Images (at Different Dose Levels) as Prior Knowledge to Predict Standard-Dose PET Images [0.03%]
利用不同剂量水平的多幅低剂量PET图像作为先验知识预测标准剂量PET图像
Behnoush Sanaei,Reza Faghihi,Hossein Arabi
Behnoush Sanaei
The existing deep learning-based denoising methods predicting standard-dose PET images (S-PET) from the low-dose versions (L-PET) solely rely on a single-dose level of PET images as the input of deep learning network. In this work, we explo...
Diabetic Retinopathy Prediction Based on Wavelet Decomposition and Modified Capsule Network [0.03%]
基于小波分解和改进胶囊网络的糖尿病视网膜病变预测
Mohammed Oulhadj,Jamal Riffi,Chaimae Khodriss et al.
Mohammed Oulhadj et al.
Diabetic retinopathy (DR) is one of the most common consequences of diabetes. It affects the retina, causing blood vessel damage which can lead to loss of vision. Saving patients from losing their sight or at least slowing the progress of t...