Surgical management of breast cancer in Victoria: A state-wide audit.

Aim: The Victorian Tumour Summits are an initiative of the Victorian Integrated Cancer Services to engage clinicians and consumers in identifying unwarranted variations in cancer care across the state. From the analysis presented at the Victorian Breast Tumour Summit in 2021, this study provides a state-wide overview of epidemiology and surgical care of breast cancer in Victoria to outline any variations in care across the state, and limitations in data reporting, which impacts the understanding of breast cancer burden and service planning.

Methods: A retrospective analysis of Victorian breast cancer patients diagnosed between 2016 and 2018 was performed using a linked data set provided by the Department of Health.

Deep Learning in Physiological Signal Data: A Survey.

Deep Learning (DL), a successful promising approach for discriminative and generative tasks, has recently proved its high potential in 2D medical imaging analysis; however, physiological data in the form of 1D signals have yet to be beneficially exploited from this novel approach to fulfil the desired medical tasks. Therefore, in this paper we survey the latest scientific research on deep learning in physiological signal data such as electromyogram (EMG), electrocardiogram (ECG), electroencephalogram (EEG), and electrooculogram (EOG). We found 147 papers published between January 2018 and October 2019 inclusive from various journals and publishers.