自引率: 3.2%
被引量: 3992
通过率: 暂无数据
审稿周期: 暂无数据
版面费用: 暂无数据
国人发稿量: 4
投稿须知/期刊简介:
Journal of the British Neuropathological Society. Neuropathology and Applied Neurobiology publishes papers on a range of neuropathological topics extending from experimental and molecular neuroscience to clinical papers dealing with the basic applied neurobiological aspects of human and veterinary disease.Neuropathology and Applied Neurobiology has recognised the importance of Continuing Education (CE) worldwide in neuroscience, medicine and veterinary science. Articles are aimed at increasing the awareness of advances in basic neuroscience and the study of neurological disease for the benefit of its international audience.
期刊描述简介:
Journal of the British Neuropathological Society. Neuropathology and Applied Neurobiology publishes papers on a range of neuropathological topics extending from experimental and molecular neuroscience to clinical papers dealing with the basic applied neurobiological aspects of human and veterinary disease.Neuropathology and Applied Neurobiology has recognised the importance of Continuing Education (CE) worldwide in neuroscience, medicine and veterinary science. Articles are aimed at increasing the awareness of advances in basic neuroscience and the study of neurological disease for the benefit of its international audience.
-
The molecular mechanisms that underlie IGHMBP2-related diseases.
被引量：- 发表：2024
-
A novel homozygous nonsense variant in COL12A1 causes myopathic Ehlers-Danlos syndrome: A case report and literature review.
被引量：- 发表：2024
-
Evaluating the efficacy of few-shot learning for GPT-4Vision in neurodegenerative disease histopathology: A comparative analysis with convolutional neural network model.
Recent advances in artificial intelligence, particularly with large language models like GPT-4Vision (GPT-4V)-a derivative feature of ChatGPT-have expanded the potential for medical image interpretation. This study evaluates the accuracy of GPT-4V in image classification tasks of histopathological images and compares its performance with a traditional convolutional neural network (CNN). We utilised 1520 images, including haematoxylin and eosin staining and tau immunohistochemistry, from patients with various neurodegenerative diseases, such as Alzheimer's disease (AD), progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD). We assessed GPT-4V's performance using multi-step prompts to determine how textual context influences image interpretation. We also employed few-shot learning to enhance improvements in GPT-4V's diagnostic performance in classifying three specific tau lesions-astrocytic plaques, neuritic plaques and tufted astrocytes-and compared the outcomes with the CNN model YOLOv8. GPT-4V accurately recognised staining techniques and tissue origin but struggled with specific lesion identification. The interpretation of images was notably influenced by the provided textual context, which sometimes led to diagnostic inaccuracies. For instance, when presented with images of the motor cortex, the diagnosis shifted inappropriately from AD to CBD or PSP. However, few-shot learning markedly improved GPT-4V's diagnostic capabilities, enhancing accuracy from 40% in zero-shot learning to 90% with 20-shot learning, matching the performance of YOLOv8, which required 100-shot learning to achieve the same accuracy. Although GPT-4V faces challenges in independently interpreting histopathological images, few-shot learning significantly improves its performance. This approach is especially promising for neuropathology, where acquiring extensive labelled datasets is often challenging.
被引量：3 发表：2024
-
Editorial.
被引量：- 发表：2024
-
Proteomic profiling of polyglucosan bodies associated with glycogenin-1 deficiency in skeletal muscle.
被引量：- 发表：2024
